Reconnection Choices: Selecting the Most Valuable (vs. Most Preferred) Dormant Ties

Recent research has shown that reconnecting long-lost, dormant ties can yield tremendous value, often more than active ties. Yet two key research questions remain unanswered: which of a person's many dormant ties provide the most value, and which are advice seekers most inclined to choose as reconnection targets? In the current study, we asked executives to seek advice on an important work project from two dormant ties their first, most preferred choice plus one selected randomly from their next nine most preferred choices and to respond to surveys before and after their reconnections. This two-stage design allowed us to make causal inferences about the executives' advice-seeking preferences and the value of reconnecting certain types of dormant ties. Our results show that the most valuable reconnections are to people who provide novelty by not having spent much time together in the past and having higher status as well as engagement by being trustworthy and willing to help. Our executive participants, however, preferred neither novelty nor engagement. Rather, the prospect of reconnecting can make people feel anxious. To avoid this discomfort, executives preferred contacts with whom they had spent a lot of time together in the past, thereby actually reducing novelty. Thus, our findings identify critical biases in executives' reconnection preferences as well as insights into how to make more effective reconnections. Our discussion presents broader implications of these findings for advice seeking and social networks.

[1]  Peter V. Marsden,et al.  Reflections on Conceptualizing and Measuring Tie Strength , 2012 .

[2]  Francis J. Flynn,et al.  If you need help, just ask: underestimating compliance with direct requests for help. , 2008, Journal of personality and social psychology.

[3]  Arie Nadler,et al.  The Role of Threat to Self-Esteem and Perceived Control in Recipient Reaction to Help: Theory Development and Empirical Validation , 1986, Advances in Experimental Social Psychology.

[4]  R. Bosker Boekbespreking van "A.S. Bryk & S.W. Raudenbusch - Hierarchical linear models: Applications and data analysis methods" : Sage Publications, Newbury Parki, London/New Delhi 1992 , 1995 .

[5]  R. Cross,et al.  Relational Enhancement , 2016 .

[6]  Akbar Zaheer,et al.  Network Memory: The Influence of Past and Current Networks on Performance , 2004 .

[7]  S. Ghoshal,et al.  Social Capital, Intellectual Capital, and the Organizational Advantage , 1998 .

[8]  Daniel Z. Levin,et al.  The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer , 2004, Manag. Sci..

[9]  H. Goldstein,et al.  Weighting for unequal selection probabilities in multilevel models , 1998 .

[10]  Morten T. Hansen,et al.  The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits , 1999 .

[11]  James Nebus,et al.  Building Collegial Information Networks: A Theory of Advice Network Generation , 2006 .

[12]  Rick Delbridge,et al.  Overcoming Network Overload and Redundancy in Interorganizational Networks: The Roles of Potential and Latent Ties , 2012, Organ. Sci..

[13]  Kelly Quinn,et al.  WE HAVEN'T TALKED IN 30 YEARS! , 2013 .

[14]  M. Lorenzen Creativity in context : Content, cost, chance and collection in the organization of the film industry , 2009 .

[15]  Ronald S. Burt,et al.  Bridge decay , 2002, Soc. Networks.

[16]  Nan Lin,et al.  SOCIAL NETWORKS AND STATUS ATTAINMENT , 1999 .

[17]  Joseph A. Cote,et al.  Lack of method variance in self-reported affect and perceptions at work: Reality or artifact? , 1989 .

[18]  Ray Reagans,et al.  Contradictory or compatible? reconsidering the “trade-off” between brokerage and closure on knowledge sharing , 2008 .

[19]  Roderick M. Kramer,et al.  Swift trust and temporary groups. , 1996 .

[20]  B. Staats Unpacking Team Familiarity: The Effects of Geographic Location and Hierarchical Role , 2012 .

[21]  S. Wasserman,et al.  New Frontiers in Network Theory Development , 2006 .

[22]  Scott B. MacKenzie,et al.  Working memory: theories, models, and controversies. , 2012, Annual review of psychology.

[23]  Jeffrey Pfeffer What Were They Thinking?: Unconventional Wisdom About Management , 2007 .

[24]  David Lo,et al.  Reviving Dormant Ties in an Online Social Network Experiment , 2013, ICWSM.

[25]  D. Ferrin,et al.  Trust in leadership: meta-analytic findings and implications for research and practice. , 2002, The Journal of applied psychology.

[26]  Fiona Lee The Social Costs of Seeking Help , 2002 .

[27]  Ray Reagans,et al.  Bridging the Knowledge Gap: The Influence of Strong Ties, Network Cohesion, and Network Range on the Transfer of Knowledge Between Organizational Units , 2012 .

[28]  Erin Anderson,et al.  The Dark Side of Close Relationships , 2005 .

[29]  Daniel J. Brass,et al.  Social Networks and Perceptions of Intergroup Conflict: The Role of Negative Relationships and Third Parties , 1998 .

[30]  Massimo Maoret Reunited: Exploring the performance effects of newcomers’ tie reactivation. , 2013 .

[31]  Ray Reagans,et al.  Network Structure and Knowledge Transfer: The Effects of Cohesion and Range , 2003 .

[32]  B. Kogut,et al.  Exploring internal stickiness : Impediments to the transfer of best practice within the firm , 2007 .

[33]  D. Hofmann An Overview of the Logic and Rationale of Hierarchical Linear Models , 1997 .

[34]  Manuel E. Sosa Where Do Creative Interactions Come From? The Role of Tie Content and Social Networks , 2011, Organ. Sci..

[35]  Albert Satorra,et al.  Scaled and Adjusted Restricted Tests in Multi Sample Analysis of Moment Structures , 1999 .

[36]  I G Kreft,et al.  The Effect of Different Forms of Centering in Hierarchical Linear Models. , 1995, Multivariate behavioral research.

[37]  Linda Argote,et al.  Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together , 2005, Manag. Sci..

[38]  Tihomir Asparouhov,et al.  General Multi-Level Modeling with Sampling Weights , 2006 .

[39]  Daniel J. Brass,et al.  Organizational Social Network Research: Core Ideas and Key Debates , 2010 .

[40]  M. Lobo,et al.  Competent jerks, lovable fools, and the formation of social networks. , 2005, Harvard business review.

[41]  Robert S. Huckman,et al.  Team Familiarity, Role Experience, and Performance , 2009 .

[42]  Zhike Lei,et al.  Seeking help in the shadow of doubt: the sensemaking processes underlying how nurses decide whom to ask for advice. , 2009, The Journal of applied psychology.

[43]  Aimée A. Kane Unlocking Knowledge Transfer Potential: Knowledge Demonstrability and Superordinate Social Identity , 2010, Organ. Sci..

[44]  P. V. Marsden,et al.  NETWORK DATA AND MEASUREMENT , 1990 .

[45]  Isabelle Bouty Interpersonal and Interaction Influences on Informal Resource Exchanges Between R&D Researchers Across Organizational Boundaries , 2000 .

[46]  Jeffrey M. Wooldridge,et al.  What Are We Weighting For? , 2013, The Journal of Human Resources.

[47]  David A. Hofmann,et al.  Centering Decisions in Hierarchical Linear Models: Implications for Research in Organizations , 1998 .

[48]  Siddharth Suri,et al.  Conducting behavioral research on Amazon’s Mechanical Turk , 2010, Behavior research methods.

[49]  D. Levin,et al.  Umbrella Advocates Versus Validity Police: a Life-Cycle Model , 1999 .

[50]  Rob Cross,et al.  Perceived trustworthiness of knowledge sources: the moderating impact of relationship length. , 2004, The Journal of applied psychology.

[51]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[52]  J. Coleman Foundations of Social Theory , 1990 .

[53]  D. Krackhardt The strength of strong ties: The importance of Philos in organizations , 2003 .

[54]  Manuel E. Sosa Realizing the Need for Rework: From Task Interdependence to Social Networks , 2014 .

[55]  Balagopal Vissa,et al.  A Matching Theory of Entrepreneurs ’ Tie Formation Intentions and Initiation of Economic Exchange , 2010 .

[56]  Paul W. Eastwick,et al.  Familiarity does indeed promote attraction in live interaction. , 2011, Journal of personality and social psychology.

[57]  L. Fleming,et al.  Collaborative Brokerage, Generative Creativity, and Creative Success , 2007 .

[58]  Matthew Semadeni,et al.  Value of Strong Ties to Disconnected Others: Examining Knowledge Creation in Biomedicine , 2009, Organ. Sci..

[59]  Susan T. Fiske,et al.  Attention and weight in person perception: The impact of negative and extreme behavior. , 1980 .

[60]  M. Lobo,et al.  When Competence Is Irrelevant: The Role of Interpersonal Affect in Task-Related Ties , 2008 .

[61]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[62]  Bradley R. Staats,et al.  Dynamically Integrating Knowledge in Teams: A Resource-based View of Team Performance , 2012 .

[63]  Michael D. Buhrmester,et al.  Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[64]  Jon M. Werner,et al.  Managers as Initiators of Trust: An Exchange Relationship Framework for Understanding Managerial Trustworthy Behavior , 1998 .

[65]  Lee Sproull,et al.  More Than an Answer: Information Relationships for Actionable Knowledge , 2004, Organ. Sci..

[66]  N. Lin,et al.  Social Resources and Strength of Ties: Structural Factors in Occupational Status Attainment , 1981, Social Capital, Social Support and Stratification.

[67]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[68]  Peter A. Bamberger,et al.  Employee help-seeking: Antecedents, consequences and new insights for future research , 2009 .

[69]  Teresa M. Amabile,et al.  IDEO's Culture of Helping , 2014 .

[70]  J. Keith Murnighan,et al.  What's in a name? Subliminally activating trusting behavior , 2010 .

[71]  Bradley R. Staats,et al.  Dynamically Integrating Knowledge in Teams: Transforming Resources into Performance , 2011 .

[72]  J. Joireman,et al.  In-role perceptions buffer the negative impact of low LMX on helping and enhance the positive impact of high LMX on voice. , 2008, The Journal of applied psychology.

[73]  F. Damanpour Organizational Innovation: A Meta-Analysis Of Effects Of Determinants and Moderators , 1991 .

[74]  R. Zajonc Attitudinal effects of mere exposure. , 1968 .

[75]  Bradley R. Staats,et al.  Team familiarity, role experience, and performance: evidence from indian software services , 2012 .

[76]  L. Pessoa,et al.  Positive emotions broaden the scope of attention and thought‐action repertoires , 2005, Cognition & emotion.

[77]  Tanya Menon,et al.  Status Differences in the Cognitive Activation of Social Networks , 2010, Organ. Sci..

[78]  A. Tversky,et al.  Prospect Theory. An Analysis of Decision Making Under Risk , 1977 .

[79]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[80]  Michael G. Pratt,et al.  Ambivalent Feelings in Organizational Relationships , 2000 .

[81]  John P. Wanous,et al.  Estimating the Reliability of a Single-Item Measure , 1996 .

[82]  P. V. Marsden,et al.  Measuring Tie Strength , 1984 .

[83]  Bradley L. Kirkman,et al.  The Impact of Team Empowerment on Virtual Team Performance: The Moderating Role of Face-to-Face Interaction , 2004 .

[84]  A. Zellner An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

[85]  Karolin Frankenberger,et al.  Task Contingencies in the Curvilinear Relationships Between Intergroup Networks and Initiative Performance , 2010 .

[86]  J. Perry-Smith Social Yet Creative: The Role Of Social Relationships In Facilitating Individual Creativity , 2006 .

[87]  Jeffrey C. Kohles,et al.  It takes two to tango: An interdependence analysis of the spiraling of perceived trustworthiness and cooperation in interpersonal and intergroup relationships , 2008 .

[88]  Daniel Z. Levin,et al.  Dormant Ties: The Value of Reconnecting , 2011, Organ. Sci..

[89]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[90]  Robert B. Lount,et al.  The role of affect in knowledge transfer. , 2010 .

[91]  Timothy D. Wilson,et al.  Telling more than we can know: Verbal reports on mental processes. , 1977 .

[92]  H. Russell Bernard,et al.  Estimating the size of personal networks , 1990 .