Harvard Business Review
Even predictive models that can identify the behavioral patterns that reveal who will quit don’t excel at explaining why they do. This is likely because the reasons people quit are deep-rooted and complex. Through my work, I’ve identified eight common leadership mistakes that help explain this why. Understanding them, and how they impact your team, will help you identify those who are at flight risk, and make changes that may convince them to stay.
The Workplace Therapist
The Brandon Smith Show
The employee quit rate is on the rise — are your team members on their way out? Listen in! Dr. Jon Christiansen, Sparks Research CIO & Managing Director of Ins & Outs, reveals the top warning signs employees are ready to quit.
Contact Center Pipeline
Customers are tired of being treated like numbers. They’re aware of how much of their information and feedback is being collected, and now consumers want the companies they do business with to use that data to provide a more personalized experience.
Big Data & Analysis Tech Brief
Data can help a company create competitive advantages, enhance customer service, improve marketing efforts, and develop efficiencies within the company. Data can also be misused, mishandled and cause expensive and sometimes irrevocable mistakes.
From my conversations with industry leaders at companies like Dell and data scientists like Jon Christiansen, the main takeaway is that closing the trust gap and ensuring a greater understanding of AI lies in our very humanity.
We had the opportunity to sit down with him to talk about the rise of deepfake technology and how it relates to the spread of fake news, how common signs can be spotted, and what companies can do to ensure that they’re responsibly spreading information.
More and more companies today are using screening algorithms to aid in their recruitment of new hires. AI makes those folks in HR more effective at screening candidates when they spend quality time getting to know what a hiring manager is seeking.
A question that frequently comes up has to do with the role of artificial intelligence in screening resumes, and how candidates can craft a winning a resume that will pass the bots and the system and get into human hands.
Wall Street Journal Podcast
The use of machine learning and artificial intelligence are game changers in job-seeking. Sparks Research CIO Jon Christiansen explains common mistakes by applicants and how they must simplify their resumes in order to be properly read by A.I. programs and ultimately land on a recruiter’s desk.
Customer Experience Insight
Customer loyalty is the ticket to business success – and these seven companies have mastered the art of building loyalty.
Companies are more regularly using computer-screening tools to scan resumes and decide which candidates deserve interviews. If your resume doesn’t impress a computer, it might end up in the trash before a human ever sets eyes on it.
Quirk’s Marketing Research Review
In today’s highly social world, it’s harder than ever for researchers to separate and measure the many factors that influence our product choices. One way is to look at the connections that bind us, the author says.
The Leadership Quarterly
Informal leadership, interaction, cliques and productive capacity in organizations: A collectivist analysis
This study proposes that dynamically changing organizations can achieve stable productive capacity (or environmentally stable states) by adaptively processing internal and external volatility.
Academy of Management
Three dynamics affecting the capacity of an organization to function effectively are proposed: adaptive leadership, or agents actively leading each other to process information; network interaction; and cliques.