In—Credible Government: Legitimacy, Democracy, and Non-Governmental Organizations

This article analyses emerging trans-global networks of governance that are coming to light within a post-democratic form of governance that relies upon specific technologies of credibility building, as opposed to universalistic mechanisms of representation. Using the NGO sector as a model, and using examples from fieldwork conducted in the unraveled contexts of Bosnia and Croatia, and the unraveling context of Ecuador over the past decade, we show how intervention within the global south and post conflict realms, although often couched using such master terms as democracy, development and freedom, are in fact geared towards the generation of political legitimacy and influence through relationships based upon the exchange of credibility.

Bin packing with “Largest In Bottom” constraint: tighter bounds and generalizations

The (online) bin packing problem with LIB constraint is stated as follows: The items arrive one by one, and must be packed into unit capacity bins, but a bigger item cannot be packed into a bin which already contains a smaller item. The number of used bins has to be minimized as usually. We show that the absolute performance bound of algorithm First Fit is not worse than 2+1/6≈2.1666 for the problem, improving the previous best upper bound 2.5. Moreover, if the item sizes do not exceed 1/d, then we improve the previous best result 2+1/d to 2+1/d(d+2), for any d≥2. (Both previously best results are due to Epstein, Nav. Res. Logist. 56(8):780–786, 2009.) Furthermore, we define a problem with the generalized LIB constraint, where some incoming items cannot be packed into the bins of some already packed items. The (in)compatibility of the incoming item with the items already packed becomes known only at the arrival of the actual item, and is given by an undirected graph (and, as usual in case of online graph problems, we can see only that part of the graph what already arrived). We show that 3 is an upper bound for this general problem if some natural transitivity constraint is satisfied.     

In learning mode? The role of mindsets in derailing and enabling experiential leadership development

In comparison to the vast literature on leadership theories, concepts, and behaviors, relatively less is known about why leaders often learn little from their leadership experiences, as well as how to support them in doing so. We propose that leaders learn more from their challenging leadership experiences when they are in learning mode, defined as intentionally framing and pursuing each element of the experiential learning process with more of a growth than a fixed mindset. We describe how the extent to which leaders are in learning mode stems from salient mindset cues and guides whether they work through the experiential learning process with a predominantly self-improvement or self-enhancement motive. We theorize about several other likely mediators and moderators of when being in learning mode will manifest in experiential leadership development. Practical implications at the micro, meso, and macro levels, as well as within management education are outlined.     

In the eye of the beholder? An eye-tracking experiment on emergent leadership in team interactions

Integrating evolutionary signaling theory with a social attention approach, we argue that individuals possess a fast, automated mechanism for detecting leadership signals in fellow humans that is reflected in higher visual attention toward emergent leaders compared to non-leaders. To test this notion, we first videotaped meetings of project teams and collected leadership ratings for the team members from three rating sources. Second, we provided 18 naïve observers with 42 brief, muted video clips of the team meetings and analyzed their eye gazing patterns. Observers gazed at emergent leaders more often, and for an average longer duration, than at non-leaders. Gender effects occurred such that male emergent leaders received a higher number of fixations than female emergent leaders. Non-verbal behavior analysis indicated that emergent leaders showed a higher amount of active gestures and less passive facial expressions than non-leaders. We discuss theoretical and methodological directions for emergent leadership research in teams.     

In search of complementarities within and across platform ecosystems: Complementors’ relative standing and performance in mobile apps ecosystems

Firms can benefit immensely from participating in digital platform ecosystems—specifically, from the shared technological assets and market opportunities offered by the platform owner. Yet, while aligning with the platform ecosystem rules, each member must decide whether to specialize in a given platform ecosystem or across multiple platform ecosystems to capture these benefits. We examine two common patterns through which platform ecosystem members (i.e., complementors) specialize within and across platform ecosystems, and the relative impact on their market performance. We look at the high relative standing of the complementary product as a reflection of complementors' specialization in the given product category or platform ecosystem. We then theorize that having products with high relative standing in a single product category and a single platform ecosystem, together, diminishes complementors’ market performance over time. Similarly, high relative standing in multiple platform ecosystems and multiple product categories, at the same time, adversely impacts the market performance. We find supportive evidence for our hypotheses, in a panel dataset of mobile app developers. This paper contributes to the burgeoning stream of research that investigates the trade-offs faced by complementors, suggesting that complementor strategies are more complex than simply trying to maximize market reach.