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Many organizations are finding success with IoT projects by starting small, considering the short- and long-term value of initiatives, and looking at alternative ways to investigate issues for the information they need.
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For PepsiCo, entering the natural beverage markets of coconut water and smoothies meant developing new risk-management practices. In the coconut water business, “lead times are longer and supply is more variable than in PepsiCo’s traditional beverage supply chain,” write Tim Rowell of PepsiCo and James B. Rice Jr. of the MIT Center for Transportation & Logistics. “The company has had to build enough inventory to minimize stock outs — without causing excessive losses through obsolescence.”
Early adopters of software robots exemplify how companies generate tangible benefits via service innovations in three ways: (1) by developing an approach to service automation supported by top management, (2) by initiating effective processes that deliver value to customers and employees, and (3) by building enterprise-wide skills and capabilities. Managers interested in capturing the benefits of service automation need to pursue all three avenues.
The ability of artificial intelligence to sift through mountains of data and identify patterns — and problems — in real time is its key value for business. Using AI to predict failures and take action to prevent them will become commonplace in the very near future. But it can also offer insights into human behavior to help managers improve customer service and employee relations.
Companies that lack the resources and knowledge to undertake key strategic growth initiatives often seek partners who can fill in the gaps. The skills that make such alliances work, however, aren’t well understood; executives often make flawed assumptions that prevent the partnership from achieving its goals. An integrative, holistic framework for alliance management helps executives avoid these pitfalls and create value via strategic alliances.
This year’s winning article is “Accelerating Projects by Encouraging Help,” by Fabian J. Sting, Christoph H. Loch, and Dirk Stempfhuber. The authors examine project planning and execution challenges and describe a case study of a company that designed a help process to encourage workers to seek and provide mutual assistance. The Beckhard Prize is awarded annually to the authors of the most outstanding MIT SMR article on planned change and organizational development.
Certain kinds of product or process creations involve not just one player but many to ensure success. Organizations working toward this kind of innovation need to think about the project’s innovation ecosystem, which includes identifying co-innovators, structuring project leadership, and potentially modifying how success is defined. “All these things need to be negotiated within the coalition” notes Ron Adner of the Tuck School of Business — a process that’s often under-appreciated or ignored.
Multi-sourcing can lessen the risk of supply chain disruption. But it introduces new risks of its own. Companies should explore five questions before moving forward: Are all the sources in the same geographic area? What will it cost to develop a second supplier? How compatible is the alternative source? Are the additional CSR risks worth it? And will primary suppliers start holding back their new innovations?
Professor Theodore Stank, co-author of “Integrating Supply and Demand” from MIT SMR’s Summer 2015 issue, joined contributing editor Steven Paul to present his research on how some companies have bridged the perennial divide between demand generation and the supply chain in a way that maximizes the value to their customers and to themselves. Professor Stank described how to avoid having sales generation become disconnected from the operations required to fulfill that demand.
Although intuitively appealing, strategy maps and models such as the service profit chain have a common pitfall: They encourage managers to embrace general assumptions about the drivers of financial performance that may not stand up to close scrutiny in their own organizations. A more rigorous analytic approach called performance topology mapping may help managers avoid these assumptions, as well as the strategic mistakes they promote.
Nicholas Bloom, William Eberle Professor of Economics at Stanford University, conducted an extensive study of 30,000 US factories, and found that two practices, underpinned by innovative software and IT systems, stand out in highly effectively managed operations: monitoring and incentives.
On May 12 at 1 pm ET, Professor Theodore Stank, co-author of “Integrating Supply and Demand” from MIT SMR’s Summer 2015 issue, joins contributing editor Steven Paul to present his research on how some companies have bridged the perennial divide between demand generation and the supply chain in a way that maximizes the value to their customers and to themselves. Professor Stank describes how to avoid having sales generation become disconnected from the operations required to fulfill that demand
Bringing high-tech inventions built on patented technologies to market can be complicated and risky. The threat of added costs from patent infringement lawsuits has led technology companies to pool their talents — and patents — in technology consortia. Joining a tech consortium requires managers to weigh intellectual property value against the value of future collaborations and assess the consortium’s pros and cons for innovation, competition, and market creation.
A better strategy for managing digital disruption; enhancing product development with micro-factories; the untapped potential of supply chain digitization.
There are many reasons to believe we are on the crest of substantial progress with even the most challenging of last mile deliveries. Innovative models such as smart locker systems, the use of electric vehicles, and on-demand fleet services such as UberRUSH are being explored. The MIT Megacity Lab is helping identify customer-specific insights about how supply chains deliver products to urban customers and finds that autonomous delivery vehicles, while still years from wide-scale implementation, hold game-changing promise.
In an on-demand webinar, Wolfgang Gruel and Frank Piller detail new experiments in personal transportation. Gruel and Piller say that transportation customers are on the cusp of having seamless travel experiences that synchronize all transit options: schedules, traffic conditions, and personal preferences. But making this vision a reality requires knitting together previously independent systems — in part through smart data and the Internet of Things.
With the help of third-party developers, customization is shifting from the producer to the customer. While Industrial Age customization did enhance options for different customer preferences, those options were hardwired into a firm’s supply chain in ways that preserved efficient scale. Customers could choose only from those options that a firm had already programmed to deliver through established supply chains. Digital Age customization allows customers options outside the boundaries of a firm’s traditional supply chain.
Using data and analytics to understand the complexities of modern business has become not only common, but essential. Gahl Berkooz joined Ford Motor Co. in 2004, eventually becoming head of data and governance and a member of the company’s global data insights and analytics skill team. Berkooz became acutely aware of how important analytics is to the company’s ability to thrive in the global marketplace. “What it boils down to,” he told MIT SMR’s Michael Fitzgerald, “is that we know how to make decisions. It’s about finding the opportunities to bring data and analytics to make better decisions.”
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