Fluid Teams and Knowledge Retrieval: Scaling Service Operations

Melissa A. Valentine; Tom Fangyun Tan; Bradley R. Staats; Amy C. Edmondson

Article | Manufacturing & Service Operations Management | Spring 2019

Fluid Teams and Knowledge Retrieval: Scaling Service Operations

by Melissa A. Valentine, Tom Fangyun Tan, Bradley R. Staats and Amy C. Edmondson

Abstract

To scale service operations requires retrieving knowledge across the organization. However, prior work highlights that individuals on the periphery of organizational knowledge networks may struggle to access useful knowledge at work. A knowledge repository has the potential to help peripheral individuals gain access to valuable knowledge because it is universally available and can be used without social interaction. However, for it to successfully serve this equalizing function, those on the periphery of the organizational knowledge networks must actually use it, possibly overcoming barriers to doing so. In this paper, we develop a multilevel model of knowledge retrieval in teams to explore how individuals on the periphery of knowledge networks—because of their inexperience, location, lack of social capital, gender, or role—access knowledge from such a knowledge repository. Unexpectedly, we find that individuals whose experience and position already provide access to vital knowledge use a knowledge repository more frequently than individuals on the organizational periphery. We argue that this occurs because the knowledge repository—despite its appearance of equivalent accessibility—is actually more accessible to central than to peripheral players. Thus, knowledge retrieval is not driven primarily by the need to overcome limited access to other knowledge sources. Rather knowledge retrieval is facilitated when actors know how to reap value from the knowledge repository, which ironically improves with increasing access to other sources of knowledge. We conclude that a knowledge repository is unlikely to scale service operations without additional intervention.

Keywords: teaming; teams; Groups and Teams; Knowledge Management; Service Delivery; Knowledge Use and Leverage;

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Citation:

Valentine, Melissa A., Tom Fangyun Tan, Bradley R. Staats, and Amy C. Edmondson. "Fluid Teams and Knowledge Retrieval: Scaling Service Operations." Manufacturing & Service Operations Management 21, no. 2 (Spring 2019): 346–360.

Case | HBS Case Collection | September 2019

Teaming Up To Win The Rail Deal At GE (A)

Amy Edmondson, Ranjay Gulati and Rachna Tahilyani

In 2012, Nalin Jain, then head of GE aviation for South Asia, was given the added responsibility for GE’s transportation business in India, including bidding for a $2.5 billion contract to manufacture, service and maintain 1,000 diesel locomotives for state owned Indian Railways (IR). The deal, which would have been “the largest deal on the planet” for the transportation business, had been under discussion for six years, and many within GE had given up hope that it would materialize, but Jain persisted. In February 2015, when IR requested companies to submit a financial bid in six months, Jain quickly built an autonomous team, sequestered from the rest of GE, with people from multiple businesses and functions. His team overcame internal resistance from people at headquarters and stiff competition to help GE win the deal by a narrow margin. Jain was then tasked with executing the deal. As many of his earlier team members had moved on, Jain hired new people and built a new diverse yet integrated team for execution, with members able to put aside their many differences, look beyond their functional silos, and focus on the project deliverables. However, 2017 brought a series of challenges. GE changed India’s organization structure, making India business leaders report only to their respective global business leaders instead of reporting to both their business leaders and the India country leader. Jain’s mandate was expanded to include the entire international operations of GE’s transportation business. And, sub-optimal company performance forced GE to announce cost cuts of $2 billion. In the face of this turmoil, Jain wonders, “Have I created an agile team that can succeed in GE’s matrix environment and deal with the internal challenges? Do the team members have the maturity and motivation required for the project to succeed?”

Keywords: Recruitment; Selection and Staffing; Human Capital; Leadership Style; Leading Change; Organizational Design; Organizational Structure; Industrial Products Industry; Manufacturing Industry; Rail Industry; Transportation Industry; United States; India;

Citation:

Edmondson, Amy, Ranjay Gulati, and Rachna Tahilyani. "Teaming Up To Win The Rail Deal At GE (A)." Harvard Business School Case 420-058, September 2019. View Details

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Today the most promising innovation and business opportunities require collaboration among functions, offices, and organizations. To realize them, companies must break down silos and get people working together across boundaries. But that’s a challenge for many leaders. Employees naturally default to focusing on vertical relationships, and formal restructuring is costly, confusing, and slow. What, then, is the solution? Engaging in four activities that promote horizontal teamwork: (1) developing cultural brokers or employees who excel at connecting across divides; (2) encouraging people to ask questions in an open-ended, unbiased way that genuinely explores others’ thinking; (3) getting people to actively take other points of view; and (4) broadening employees’ vision to include more-distant networks. By supporting these activities, leaders can help employees connect with new pools of expertise and learn from and relate to people who think very differently from them. And when that happens, interface collaboration will become second nature.

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Fluid Teams and Knowledge Retrieval: Scaling Service Operations

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