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This conceptual paper presents a proposal for improving a performance measurement (PM) system implementation process based on enterprise engineering (EE) guidelines, which gives the process a sense of completeness.

This paper analyzes a well-known process for PM systems implementation organized in two phases: identifying, designing and implementing the top-level performance measures; and cascading the top-level measures and identify appropriate lower-level performance measures. The proposed improvements to the studied process derive from the EE guidelines, which establish a basis for the structure of an organizational management system, the formalization and synchronization of processes, performance expectations, exception handling and change management.

The study reveals that not all EE guidelines are covered by the analyzed process, with four of them having no evidence of being adopted: involvement of people in process design and implementation; ensuring interoperability between different systems in the information structure; addressing of all possible exceptions; coherence and consistency of semantics across all processes.

By the lens of EE guidelines, this paper advances a how-to-guide. This paper can support managers and researchers on PM system design and implementation, given the importance and relevance of EE recommendations having a consistent and well-structured procedure.

Although management scholars have embraced grand challenges research, in many cases, grand challenges have been treated as merely a context for exploring extant theoretical perspectives. By comparison, our approach – robust action – provides a novel theoretical framework for tackling grand challenges. In this invited article, we revisit our 2015 model, clarifying and elaborating its key elements and taking stock of subsequent developments. We then identify three promising directions for future research: scaffolding, future imaginaries, and distributed actorhood. Ultimately, our core message is remarkably simple: robust action strategies – participatory architecture, multivocal inscription and distributed experimentation – jointly provide a means for tackling grand challenges that is well matched to their complexities, uncertainties, and evaluativities.

Societal grand challenges have moved from a marginal concern to a mainstream issue within organization and management theory. How diverse forms of organizing help tackle – or reinforce – grand challenges has become centrally important. In this introductory paper, we take stock of the contributions to the volume on Organizing for Societal Grand Challenges and identify three characteristics of grand challenges that require further scholarly attention: their interconnectedness, fluidity, and paradoxical nature. We also emphasize the need to expand our methodological repertoire and reflect upon our practices as a scholarly community.

One of the biggest concerns of modern information retrieval systems is reducing the user effort required for manual traversal and filtering of long matching document lists. Thus, the first goal of this research is to propose an improved scheme for representation of search results. Further, it aims to explore the impact of various user information needs on the searching process with the aim of finding a unified searching approach well suited for different query types and retrieval tasks.

The BoW online bibliographical catalogue is based on a hierarchical concept index to which entries are linked. The key idea is that searching in the hierarchical catalogue should take advantage of the catalogue structure and return matching topics from the hierarchy, rather than just a long list of entries. Likewise, when new entries are inserted, a search for relevant topics to which they should be linked is required. Therefore, a similar hierarchical scheme for query‐topic matching can be applied for both tasks.

The experiments show that different query types used for the above tasks are best treated by different topic ranking functions. To further examine this phenomenon a user study was conducted, where various statistical weighting factors were incorporated and their impact on the performance for different query types was measured. Finally, it is found that the mixed strategy that applies the most suitable ranking function to each query type yielded a significant increase in precision relative to the baseline and to employing any examined strategy in isolation on the entire set of user queries.

The main contributions of this paper are: the alternative approach for compact and concise representation of search results, which were implemented in the BoW online bibliographical catalogue; and the unified or mixed strategy for search and result representation applying the most suitable ranking function to each query type, which produced superior results compared to different single‐strategy‐based approaches.