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Friday, February 10, 2017

Connecting the Dots: Internet of Things and Human Resource Management


A journey of a thousand miles often starts with you barking up the wrong tree. . . – Koe Whitton Williams, November 20, 1955


All poems cause side effects – ‘Always Read the Label Before You Read the Poems’, – Vito Pasquale

A behavioral look at the new proposed tax reform 

A. Narasima Venkatesh, Dr., Connecting the Dots: Internet of Things and Human Resource Management (February 8, 2017). American International Journal of Research in Humanities, Arts and Social Sciences, ISSN (Print): 2328-3734. Available for download at SSRN: https://ssrn.com/abstract=2913400 “With every organization increasingly becoming technology-obsessed to effectively manage business operations, HR leaders have no choice but to a acclimatize to innovations in processes like recruitment, benefits management and payroll. One fascinating topic that is garnering loads of media attention these days is the so-called “Internet of Things” (IoT). Today, “The Internet of Things” (IoT) is becoming an increasingly delightful topic of discussion in the workplace and outside of it. Indisputably, the growth and expansion in technology has considerably enhanced the way we lead our lifestyle. Practically, in all the areas of life, technology has made its remarkable impact including different modes of communication using various types of electronic gadgets like laptops, mobile phones, tablets, smart Steve Job's phones ...
“With every organization increasingly becoming technology-obsessed to effectively manage business operations, HR leaders have no choice but to acclimatize to innovations in processes like recruitment, benefits management and payroll. One fascinating topic that is garnering loads of media attention these days is the so-called “Internet of Things” (IoT). Today, it is a reality that gadgets and domestic appliances can be connected to the internet and invariably send and/or receive information from/to your smartphone and this scenario is just a preamble to an infinitely connected world in the near future. However, it is a known fact that people spend most of their time in doing office work and as such, it is high time to know how the world of Internet of Things (IoT) will change the workplace environment in future and to understand how it is already showing the signs of the impacting the way businesses are run today. From the progression of the mobile job seeker, to embedding microchips to manage employees, the growing nature of Internet of Things (IoT) appears to impact the way human resources work in organizations’ and also the way organizations run their business operations.”

Pew Report – Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment
“Algorithms are instructions for solving a problem or completing a task. Recipes are algorithms, as are math equations. Computer code is algorithmic. The internet runs on algorithms and all online searching is accomplished through them. Email knows where to go thanks to algorithms. Smartphone apps are nothing but algorithms. Computer and video games are algorithmic storytelling. Online dating and book-recommendation and travel websites would not function without algorithms. GPS mapping systems get people from point A to point B via algorithms. Artificial intelligence (AI) is naught but algorithms. The material people see on social media is brought to them by algorithms. In fact, everything people see and do on the web is a product of algorithms. Every time someone sorts a column in a spreadsheet, algorithms are at play, and most financial transactions today are accomplished by algorithms. Algorithms help gadgets respond to voice commands, recognize faces, sort photos and build and drive cars. Hacking, cyberattacks and cryptographic code-breaking exploit algorithms. Self-learning and self-programming algorithms are now emerging, so it is possible that in the future algorithms will write many if not most algorithms…”