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Meraki

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  1. R and Python are probably the most robust and intuitive. They are both also open source. I would say either is a good choice to learn, and probably pretty popular among faculty if you need assistance with programming. This can vary though by department area within the business school.
  2. It looks like a lot of you already had some interviews, but I can share some thoughts. In business schools, research experience is helpful but most students don't have any, so it isn't a big deal to most faculty. I had research experience due to my background in psychology, and I don't think it helped me all that much. They want to know that you have some interest in their research areas, but don't be concerned if they don't want to hear all the details on your research questions - most students end up changing their interests/research questions as they go through the program and learn new thi
  3. An active thread for business PhD applicants, awesome! I'm a current OB PhD student. Good luck to everyone!
  4. This is the best advice. And do it early in your career, since publications take quite a bit of time. Not all projects will make it that far, so you can't count on a publication for each one you embark on. Having a pipeline is important, too. You might not have as many publications, but if you have a few in R&R status (especially a few rounds in, if your journals have the same process as mine), some in manuscript prep status or in data collection status, you clearly are on the right track to maintaining your productivity in the eyes of potential employers.
  5. Do you work in academia or did you go into industry? Keep in mind that if they see you published without them, and feel that they should have been on the paper, this could permanently burn that bridge. So if you need recommendations or anything else from them later down the road, you won't likely get it. Also, if they have contributed anything - or feel like they contributed something - and they see they're not on the paper, they could choose to notify the journal of an unethical authorship practice. In short, this could get sticky. If you take their name off, be absolutely certain they
  6. In your first semester, I would worry most about maintaining the minimum required GPA for funding and to stay off probation or getting dismissed (this is often a 3.0). If you're a PhD student heading toward tenure-track professor positions, research productivity (and teaching evals, recommendations, etc.) will usually be much more important down the road. Perhaps Fellowships may have a GPA range, but you should be able to look into that now by searching for a few and seeing what their requirements are. In my program, a B- is considered failing without the professor technically failing yo
  7. Are you first author on these papers, assuming you're in a field that uses author order as a signal of contribution? If so, and since you've graduated, it is likely your call on when a paper is ready to submit to a journal. I say likely, because the specifics of your field may differ a bit from mine. But unless they are the lead investigator, I see no reason to expect them to follow through if no progress was made in 3 years, so communicating a decision to them may be best. However, I wouldn't submit anything to a journal that hasn't received feedback in some form, such as through a prese
  8. Every advisor/program is different, but try to think of it this way: There are typically many qualified applicants in any given admissions cycle. The department/advisor does their best to whittle down the list of potential admits based on scores, experience, and research interests. Sometimes, there is a seemingly perfect match - a potential student wanting to do exactly the type of research the advisor does/wants to start doing, but I'd say this is often not the case. The "best" candidate may be only marginally "more qualified" than the second and third choice. Sometimes, as Psygeek said, ther
  9. Typically readers will want to know enough about your methods to potentially do a replication, if desired. Failure to disclose enough about the methods could lead to a rejection if you are submitting it to a journal, or at least a revision requesting the missing information. Not stating how something was done can also raise some eyebrows as to the validity of the method and subsequent results if the method and/or author is unfamiliar. However, if this is a relatively common method in your field - and you personally just don't happen to know how it's done - you might get away with being more br
  10. It's typical to have more than one hypothesis in this type of research. It would be difficult, I think, to write a good paper with just one predictor and one outcome variable. Perhaps you could add a mediator and/or moderator to make the study a bit more interesting. As it stands, the hypothesis isn't all that surprising, and I wonder what the contribution might be to the literature. (I do realize this is an undergraduate thesis and not likely aiming for an A-publication, but I think trying to add one or two more hypotheses would strengthen the final product if a grade is involved). Aha
  11. If its run by a management agency, you should be able to search online for reviews from prior tenants. I would be more wary submitting a deposit if its just some random person renting out an apartment in a home they own. Are you looking for your own place or a room with roommates? That will make a difference in what you might be able to do to reduce risk. Does the school offer housing to grad students? Many students out of the area may start off there and then move out after the first year (if this is a PhD program. It's not really worth the hassle of moving if it's a shorter program).
  12. I do not know much about emerging technologies research to provide suggestions. However, trying to find research articles that you find interesting and seeing where the authors are from is probably the best thing you can do. You might also consider that some business schools house the economics department at their university, so you can reap some of the business school benefits while staying in the economics field if you like. I'm not sure how common this is, but it might be something to look into. After doing a quick search on Google Scholar, are the below articles the type of research y
  13. This could be highly program specific. In mine, we do not receive a separate reading list or really have any way of preparing for exams other than to be organized with past notes and ideally have a reference software. But we aren't asked about specific topics or papers we've read in the past. We're meant to apply our critical thinking to critique new papers given at the start of the exam week and then create our own theoretical relationships. It's the sort of thing where you should know what you're doing by now and if not, you're screwed. But I know other fields or even programs in my same fie
  14. It sounds like you're weighing reviewer/editor comments more heavily than your advisor's if you would rethink the logic only after hearing their comments, but not after hearing your advisor's comments. I would be careful having that discussion, as that suggests you can't learn as much from your advisor or that you don't trust his judgment. Also, if your paper is rejected, you can't always resubmit it to the same journal unless there are substantial changes - though this may differ by field/journal. That's why it isn't wise to "test" things or use reviewers as tie-breakers as it may close
  15. I agree with what @TwirlingBlades suggests. I would like to state though that there are two types of literature reviews you might be referencing. First, there is a paper that in itself is a review of the literature and has no empirical study. It serves to identity either all research on a given topic (a systematic literature review), or the most significant studies relating to a given topic. These kinds of papers are meant to compare and contrast various findings on a topic, identify the strengths and the limitations of this research, and identify gaps that still need to be explored in fu
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