International Higher Education • Global Partnerships • Executive Education • University Internationalisation • Strategic Growth • eLearning • Research Mentor
Authorship disputes are one of the leading causes of broken relationships in academia. As a Research Mentor, I have seen good academic projects completely stalled simply because the team couldn't agree on the order of the author names. Establishing authorship credit early isn't just a good habit rather it is vital for transparency and ethical standards. At PhDVisor™, we provide students with practical approach to navigate these important professional conversations. We want to help you advocate for your rightful place as First Author while completely preserving the crucial institutional relationships you need for your career longevity. Protect your work and respect your collaborators.
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While reviewing a DBA dissertation recently, I found myself questioning the boundaries of data reliability in corporate research. The study explored "informal trading" and "shady deals" in marketing, though a good topic, but one which automatically triggers corporate bias and reputation defense by the respondents. How do you get honest answers when admitting to the truth could mean damaging one's own reputation? Interviews fail when people only say what makes them look good. Dealing with the corporate taboos requires a bulletproof methodology, using strict & masked anonymity, data triangulation, and proxy questioning to bypass protective filteration, so you get the truth. In specialised research, the real skill isn't just asking the right questions but it is building trust to let the raw truth emerge. Researchers must think about these before incoporporating such terms in their dissertation, else refrain from using that.
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Can we delete data we don't like?
Yesterday, during a Final Defense session, one of the PhD candidates admitted he rejected survey answers because respondents gave a low score of "1" out of 5. I commented on this during the defense and thought to post here as well.
As mentors, we must teach a truth: You cannot delete data just because the scores are low. We must understand that:
- low scores matter: A "1" is a real opinion.
- Bad feedback is important: It is as important as good feedback.
- Do not fake results: Deleting low scores creates a false picture.
- Follow strict rules: Data removal needs a plan made BEFORE the study, and any such removal must match the pre-declared removal rules.
Good research is about finding the truth. It is not about making the story look pretty.
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Over the past 23+ years in international higher education, I have learnt that building a global university partnership is never about signing a piece of paper. It is about building long-term trust. The best collaborations succeed because both institutions share a unified focus on student outcomes, not just branding & business. What is your top rule for managing international alliances?
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#TransnationalEducation #GlobalStrategy #UniversityAlliances
While reviewing theses, I find many papers without an Abstract or with a poorly written one. Thought to advise researchers on this. You have about 250 words to prove that your last three years of research matter, yet many of you treat your abstract like an afterthought. If your abstract is vague, editors will reject your paper before it ever reaches the final review stage. To write an opening paragraph that makes a rejection impossible, focus on three essential core elements: The Problem (the critical gap you are addressing), The Approach (your unique methodology), and The Outcome (the actual impact of your findings). Stop treating your abstract like a generic summary rather refine your opening strategy and make every single word count.
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In this AI-dominated era, I suggest my students that Ethics in academia isn’t just a checklist or a form you fill out for your institution. It is the absolute foundation of your professional reputation. It may look like a temporary shortcut, but those choices will certainly catch up to you and haunt your career later. In the academic world, reputations take a lifetime to build. Integrity is the only currency that never devalues. Treasure it at all costs.
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I strongly advise my first-year DBA/PhD students: Stop putting pressure on yourself to land in a top-tier journal like Nature or Science right away. Aiming that high right from the start often leads to burnout, fear of inadequacy, and long delays. Instead, focus on building your confidence and your Publication Portfolio in steps.
Start small to build momentum like writing a high-quality review paper to master your topic and submit a short paper to a conference to get a quick feedback. In research, momentum is everything. Small wins today build the skills and the track record you will need for the breakthrough papers tomorrow.
Take it one step at a time.
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I suggest that my students keep a few things in mind if they plan to submit their papers for publication. A good research paper deserves the right audience. Yet many well-written manuscripts are rejected simply because they are submitted to journals whose scope, focus, or readership do not align with your study. Successful publication is not only about the quality of research, it is also about choosing the right journal. Understanding the aims & priorities of the journal and their current research conversations can significantly improve the chances of acceptance. Don't just submit, submit smartly for acceptance.
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Many students call me before their final defense; they sound to me like scared and ask for special tips. I say, you need to first understand that your Viva/Defense isn't an interrogation, it's your professional debut.
They view their defense committee as "the enemy" waiting to trip them up, but having sat on many defense committees myself, I can tell you we are not looking for perfection, we are looking for a peer. We want to see you defend your choices with sharp logic and humility. Don't just survive your defense, qualify it.
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My advice to newly admitted PhD & DBA students is that your proposal is just a contract. Its only job is getting permission to start. Many PhD and DBA students over-engineer this step. They try to solve the entire thesis before they even begin. Keep it simple and logical. Focus on three things only: the Problem, the Gap and the Plan. I am sure your committee will accept, as they want a clear blueprint, not a thesis.
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One of my new students called me today saying "it is difficult to start, how to start writing my proposal?" My simple advice was, "Write as you go" which is the best way to start moving. Most students wait for a "moment of genius" to start writing. But after years of mentoring, I can tell you, genius is just a byproduct of bad first drafts. If you wait for perfect data, you will never finish. Writing is a tool for thinking, not just reporting. That is why we have crafted a Foundational course at PhDVisor™ helping the 1st year students, start & conclude your proposal through this 6 week live sessions & assignment workshops. Remember - Write for clarity, Edit for brilliance. Wish you a relaxed weekend!
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One of my friends in academia asked me today, "Why did I start PhDVisor™?" I answered, because too many brilliant minds drop out in PhD/DBA, not because they aren't smart enough, but because they aren't supported enough. Academia shouldn't be a test of endurance, but rather a test of intellect. We are trying to change that.
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Being a Research Mentor doesn't make me immune to deep self-doubt, and neither do a couple of PhDs, because academia naturally breeds feelings of inadequacy where climbing higher only reveals how much you don't know. I've seen brilliant scholars nearly quit because they felt like they didn't belong and just stumbled into success, which isn't an intellectual failure but a support failure that happens when a missing mentor lets your inner critic take over. That is why, at PhDVisor™, we focus on the person as much as the paper, providing the psychological and professional safety net you need to navigate the mid-stage PhD slump with your confidence completely intact.
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I advise my students to stop worrying about the small sample size in a qualitative study. As a research mentor, the number one mistake I see emerging researchers make is apologising for a small qualitative sample. In qualitative work, a small sample (ideally 15-50) is a superpower, not a flaw. While big data tells you what is happening, your deep-dive interviews tell you why it is happening. You do not need hundreds of participants; you need the right people to reach information saturation, where the same deep themes naturally repeat. By ensuring high sample homogeneity, sharing your process with absolute transparency, and focusing on depth rather than width, your research output will be incredibly credible and powerful.
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I advise my students at the literature review stage to stop reading everything. Read strategically. Use the "Inverted Pyramid" meaning, start with the latest systematic reviews, then follow the citations back to the foundational literature. If a paper doesn't challenge or support your core thesis, put it down.
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If your research isn’t "novel," it’s just a long book report.
In all my recent defense sessions I asked questions on novelty & literary contribution. The word "Novelty" haunts every PhD student. But novelty doesn't mean reinventing the wheel, it means finding the one spoke that everyone else missed.
Finding that "gap" is an art form. As a Research Mentor, I look for scholars who can map out what we know and clearly point to the darkness where their work will shine. If you can't articulate your gap in two sentences, you aren't ready for your proposal. One of the gaps PhDVisor™ aims to fill-in through supplementary mentoring.
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Many PhD students rush into their research without a solid plan, choosing methods they already know or have heard frequently, rather than those that actually work for their question. I have found this in a few cases, during my ongoing final defense & Viva sessions.
I always tell my students that 70% of the work is in the Research Design. If your foundation is weak, your final defense will be a disaster. In some cases, I had to tell students to start over because their basic logic was wrong, which is painful for everyone.
I created PhDVisor™ to stop that from happening. I and our team help you refine your plan early on so your methodology is solid before you start collecting data. Build it right the first time.
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In my recent defense sessions, I found scholars facing difficulties in these aspects. Choosing a method isn't about what's easy, it's about what's defensible. If you can't justify your sample size or your tool choice to a critic, your Viva will be a nightmare. Practice defending your "Why" today.
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