IIBM INSTITUTE: 4 TIPS FOR SUCCESSFULFIRST DAY AT YOUR NEW JOB

From figuring out what to wear to remembering where your new cube is, all while trying to learn the ropes and make a good first impression on your new boss and co-workers, your first day at a new job can be absolutely terrifying.

Arriving office on time

One must try to reach office fifteen minutes prior to the designated time to avoid any unforeseen events on the way. Prior to the first day at work, it’s better to practice the commute a couple of times during peak hours, to check traffic snarls and the real time taken to reach office. Always have an alternate itinerary ready, which might be helpful in case an individual is stuck in traffic. Individual must plan their office route and should search online maps to select the best route, before leaving their house.

Dress Professionally

You should never underestimate the importance of dressing appropriately on your first day at work. The way you dress can impact first impressions significantly.

There are three main clothing options expected today: business professional, business casual, and casual.

Business professional typically means that you’ll wear a business a suit and tie to work. This type of formal attire can still be found in more traditional industries, such as financial services or banking.

Business casual is typically a step down from professional attire. It often means that you would wear khaki pants and a dress shirt, or something similar. This dress is very common for many fields, including engineering, marketing, and accounting. In some cases, a business will allow their employees to dress casually. Casual dress typically refers to jeans and a casual shirt.www.iibmindia.in

Look and play the part

“This is not a good time to show that you’re so relaxed that you can walk around with your coffee mug, be a phenomenal joke-teller, or wax on about the day’s major business headlines,” When in doubt, take the conservative approach in how you dress and what you say and do. Be as professional as you were in the interview process.

You determine the dress code in advance so that you don’t look out of place on your first day. “This is important because sometimes the way we dress can turn people off to approaching us, or it sends the wrong message.” Ideally, you want to blend in and make others and yourself comfortable. If you’re not sure what the dress code is, call the HR department and ask.

Remember names

This piece of new-job advice can be tricky. You’ll likely be meeting a lot of people throughout your first day. Remembering names is easy for some, but for others, it’s a real struggle. When you are introduced to someone new, try not to focus on their clothes or hairstyle but instead focus on their words. When they say their name, repeat it to yourself several times in your head. If you are one of those people who struggle with names, there are lots of little tricks out there to help you get better at it. See if you can find one that works for you.

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Dr. Anshu Singh

Ph. D From Department of Economics, School for Ambedkar Studies, Babasaheb Bhimrao Ambedkar University (Central), Lucknow

She has around (6 ½ ) years of experience including a Ph.D. & teaching experience and worked under various institutions as a Lecturer and Assistant Professor, her areas of specialization are Indian Economics, Financial Economics, International Economics, and Public Finance.

Dr. Simarjeet Singh Bawa

PhD in Marketing from Punjab Technical University, Punjab

He has over 15.5 years of Experience in academics specializing in Marketing and worked under several organizations as a corporate Professor, Director, Associate Professor & HOD, Assistant Professor, Professor & Dean.

Dr. Rajesh Kotian

Online Faculty and Research Guide, IIBM Institute Of Business Management

He has having over 19 years of Experience in Academics. He has worked with various organizations under profiles like Assistant Registrar, Professor in Management, Placement Trainer, Placement Coordinator, Examination Coordinator, Inter college Examination Observer, Project Guide, International Admission counselor.

Dr. Pushpendra Singh

Ph.D from MNIT Jaipur

He has over 19 years of Experience in academics as an associate professor specialized in Electrical Engineering ,AI & ML applications, Smart Grid, IoT applications in Electrical systems, Game theory, Power system restructuring, DER/EV integration etc

Dr. Reetika Agarwal

Ph.D from University of Lucknow, India

She has over 15 years of Experience in academics and worked with various organizations under profiles like Senior Research Associate, Professor in Management, Placement Trainer, Thesis Supervisor, Examination Coordinator, Inter college Examination Observer

Dr. Latika Vaishak Shanbhag

PhD in Business Accounting from Indian Education Academy Palampur (H.P)

Worked in the field of education as a professional with experience over 20 years in the field of management and worked with various organizations under profiles like Lecturer for Financial Accounting, Statistics for Economics, Introduction to Microeconomics, Career Talks and Personality Development, Corporate training, Soft skill trainer, Teaching IELTS, PTE, Spoken English and Personality Development, etc

Dr. Krati Agarwal

Ph.D from Dayalbagh Educational Institute, Dayalbagh, Agra

She has over 5 years of Teaching experience at-Dayalbagh Educational Institute, Agra and Kalinga University, Raipur. Content matter expert, Thesis Supervisor

Dr. Nageswara Rao

PhD PMUs Based PSVS Assessment Using AI & ML from Vellore Institute of Technology – Vellore

Committed and Engaging Professor with 12 years of experience successfully as Secretary, Assistant Professor, Doctoral Researcher Associate Professor, Vice Chairman, IEEE YP AG Bengaluru Section, Innovation Ambassador – Ministry Of Education Innovation Cell, Government of India & Academic Researcher.

Dr. Mir Salim Ul Islam

Ph.D. in Computer Science and Engineering from Chitkara University, Punjab

He has over 11 years of Teaching/Research and Industry Experience. his field of specialization and Research Interests are Fog/Edge Computing, IoT, Machine Learning, and Emotion Recognition, and worked with various organizations under profiles like Software Engineer, Research Scholar, and Assistant Professor (CSE).