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  • Master the Challenges of Multichannel Pricing

    Retail customers may accept different prices on different channels -but retailers need to manage new complexities to make it work. These include understanding what customers value in each channel and how that affects what they will pay, giving store employees the right language for talking about price differences, and working out operational challenges. Getting it right has a real payoff: Retailers that effectively price differently across all channels see bottom-line growth of 2 to 5%.
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  • Four Ways Jobs Will Respond to Automation

    The robots are coming! But counter to popular belief, it's not just low-paying jobs that are at risk of automation. According to research by Scott Latham and Beth Humberd, predicting which jobs are vulnerable requires analyzing the type of value job holders deliver and the skills they use to deliver it. Workers must understand four paths of job evolution -and factors behind each path -if they hope to adapt.
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  • Breaking Logjams in Knowledge Work

    Despite the well-documented costs of overload, many leaders still think organizations thrive under pressure. They have a lot to learn from manufacturing, where managers have adopted a "pull" system to manage task flow, improving productivity and performance. This concept can be used to prevent overload in knowledge work, too. And "visual management" techniques make it easier to apply pull thinking to a portfolio of projects by rendering nonphysical tasks tangible. Two recent changes at the Broad Institute, an MIT-affiliated biomedical and genomic research center, illustrate how.
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  • Digital Transformation Opens New Questions -and New Problems to Solve

    Modest questions about how today's problems could be solved more effectively lead to applications of technology with easily foreseeable gains. But when people start asking bigger, bolder questions that challenge basic assumptions about how a problem has been framed, they open up space for breakthrough innovations. That's been the pattern in many digital realms, including cybersecurity, artificial intelligence, and the internet of things.
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  • Technical Debt Might Be Hindering Your Digital Transformation

    Data reveals the C-suite recognizes that technical debt -the "price" companies pay for short-term technological fixes -hinders their ability to innovate and adapt in the digital age. One strategy to combat technical debt? Digital decoupling.
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  • Preparing for a Blockchain Future

    With the rise of blockchain and adoption of cryptocurrencies, companies across different industries can benefit from the increased trust and transparency these emerging technologies provide. Most executives recognize the need to prioritize blockchain as part of their business strategy, but the question of how to adopt and reskill can be daunting.
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  • Gender Discrimination Still Exists -Now What?

    In both practice and research, we are doing a better job at bringing attention to the problem of gender bias. But we haven't established enough tangible suggestions for how to challenge it. New research has begun to investigate the efficacy of "scripts" -a set of words or phrases such as "Can you repeat what you just said?" that would signal to a peer that he has crossed a line, whether knowingly or unknowingly.
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  • Navigating the Next Wave of Blockchain Innovation: Smart Contracts

    Blockchain represents more than just cryptocurrencies and digital cash. The decentralized ledger system provides a platform for smart contracts, which are digital agreements that are fast, secure, and require no third party.
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  • Artificial Intelligence in Business Gets Real

    Companies are looking to artificial intelligence to create business value, and as MIT Sloan Management Review's 2018 Global Executive Study and Research Report on AI shows, Pioneer organizations are pulling ahead of their counterparts. By deepening their commitment to AI and focusing on revenue-generating applications over cost savings, these early implementers are positioning themselves to reap the benefits of AI at scale.
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  • Machine Learning in the Automotive Industry: Aligning Investments and Incentives

    Executives in the automotive sector believe that machine learning can help them achieve their marketing goals, but that doesn't necessarily mean they invest in that ambition.
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  • Why People Believe in Their Leaders - Or Not

    Organizations need to focus on how blockchain can be used to support their unique strategies. Without this focus, they risk investing in initiatives that don't provide meaningful value.
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  • Selling Solutions Isn't Enough

    Rather than trying to sell standardized products or services to the biggest possible set of buyers, B2B companies need to develop ways to help specific customers achieve better outcomes. Instead of describing their solutions, companies first need to understand customers'specific challenges, objectives, operating practices, and competitive environment, then create offerings to deliver value within a customer's specific business context and culture.
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  • How to Launch Products in Uncertain Markets

    How should companies launch products in times of uncertainty? Should they "wait and see"until uncertainty resolves -or commit to a full-scale launch and ride it out? Conventional wisdom says being early to market is the right choice, but that is not always the case. Many companies can benefit from a mixed, "act and see"approach.
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  • How AI Can Amplify Human Competencies

    The fear of robots eclipsing human power in society, in particular the workforce, has persisted for decades despite the moderate progress of artificial intelligence systems. For professor and robotics researcher Ken Goldberg, a hybrid human-machine workforce is much more likely to take shape, and in many industries, it has already begun.
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  • Taking Stock of Corporate Risk-Taking

    Research shows equity incentives introduce bias in executive recommendations and strategic planning. To counter this, boards should consider three key steps in assessing corporate risk.
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  • Improving Strategic Execution With Machine Learning

    Our 2018 Strategic Measurement research shows that companies using machine learning to optimize business processes and decision-making have distinct advantages over those that aren't investing in ML. By using ML technology to make KPIs more predictive and prescriptive, these data-driven companies are redefining how to create and measure value.
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  • Coming of Age Digitally: Learning, Leadership, and Legacy

    In the 2018 Digital Business Report, MIT SMR and Deloitte find that digitally maturing organizations encourage distributed leadership and a healthy appetite for experimentation.
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  • Go Boldly! Explore Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) for Business

    It is not surprising that managers find it hard to distinguish similar-sounding, IT-based concepts such as augmented reality and virtual reality. To many, all of these constructs mean nearly the same and, as a result, the terms are often used interchangeably. This confusion holds back those eager to explore the different opportunities these new technologies present. This Executive Digest presents six different types of reality and virtual reality-(1) reality, (2) augmented reality, (3) virtual reality, (4) mixed reality, (5) augmented virtuality, and (6) virtuality-as part of our actual reality/virtual reality continuum. We then illustrate their differences using a common example and outline business applications for each type.
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  • Setting and Vetting Strategy: Bridging the Chasm Between CEOs and Boards

    One of directors' key fiduciary duties is to set the firm's direction and then vet the strategy proposed by the CEO. Despite this, McKinsey reports that the majority of directors feel they do not understand their firm's strategy, and even if they do understand it, they do not feel they have the desired impact on their firm's strategy. This article argues that this shortfall stems from a failure to cross the chasm between CEOs and directors. We propose a framework to bridge this gap and assist board members to better understand and vet their firm's strategy.
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  • Open-Source Intelligence for Risk Assessment

    Advances in information technology (IT) have prompted tremendous growth in security issues for companies. Increasingly, cyberattacks represent a threat to companies and national security; to prevent them, firms should routinely perform risk assessments of their IT infrastructure and employees. This article highlights the importance of open-source intelligence (OSINT) tools in conducting risk assessments to prevent cyberattacks. More specifically, we performed a vulnerability assessment on the critical infrastructure of a company operating on the U.S. electrical grid. We successfully profile the company's network software, hardware, and key IT personnel-using OSINT-and detailed potential vulnerabilities associated with these findings. The results of our study provide empirical evidence for the efficacy of OSINT in improving the security posture of organizations. Our research findings were subsequently used to produce tactical and strategic recommendations for organizations based on the use of OSINT to identify vulnerabilities, mitigate risks, and formulate more robust security policies to prevent cyberattacks.
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