Reviewing the relationship between organizational performance, dynamic capabilities and strategic behavior

Current business challenges mean that understanding elements that can affect organizational performance represents a differential factor in maintaining competitiveness. In this context, the objective of this article is to conduct a Systematic Literature Review (SLR) of the relationship between dynamic capabilities, strategic behavior, and organizational performance. For this, A three-stage SLR protocol was used: (i) planning, (ii) conduct, and (iii) knowledge development. A total of 118 articles covering the publication period of 2006–2021 were included, which evidenced: (i) the grouping of words into three classes: “Knowledge Management,” “Measurement Instrument,” and “Organizational Environment”; (ii) the methodological framework; (iii) directions for future research. The findings reinforce the importance of the theoretical, methodological, and empirical relationship between the three constructs. Furthermore, the results indicate the relationship between the set of terms selected in each class, highlighting the strong connection between dynamic capabilities and competitive intensity. The main findings of the research show that organizations can expand or modify their processes by building and using dynamic capabilities as institutional factors, shaping strategic behavior to advance better performance.

Users’ search performance prediction in cross-device search

Users’ search performance indicates the effectiveness and success with which users’ information needs are met, which is calculated based on the relevance judgment by users themselves. This study proposed to explore the prediction of users’ search performance in the context of cross-device search. A user experiment was performed to collect users’ relevance judgments and search behaviors in cross-device search. Based on users’ relevance judgments, users’ search performance was evaluated by calculating the percentage of valid clicks, effective search time, nDCG@n, and satisfaction. A simple linear regression model was adopted to train the prediction model. The final results showed that a combination of users’ search performance in pre-switch sessions and their search behavior in post-switch sessions can attain the best prediction accuracy. Important features to predict users’ search performance in cross-device search shed light on improving search systems to aid users in completing the task efficiently.

Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World

Nowadays, the importance of bibliographic databases (DBs) has increased enormously, as they are the main providers of publication metadata and bibliometric indicators universally used both for research assessment practices and for performing daily tasks. Because the reliability of these tasks firstly depends on the data source, all users of the DBs should be able to choose the most suitable one. Web of Science (WoS) and Scopus are the two main bibliographic DBs. The comprehensive evaluation of the DBs’ coverage is practically impossible without extensive bibliometric analyses or literature reviews, but most DBs users do not have bibliometric competence and/or are not willing to invest additional time for such evaluations. Apart from that, the convenience of the DB’s interface, performance, provided impact indicators and additional tools may also influence the users’ choice. The main goal of this work is to provide all of the potential users with an all-inclusive description of the two main bibliographic DBs by gathering the findings that are presented in the most recent literature and information provided by the owners of the DBs at one place. This overview should aid all stakeholders employing publication and citation data in selecting the most suitable DB.

Search evolution for ease and speed: A call to action for what’s been lost

In recent years, leading website search engines have abandoned vital search features supporting complex information needs, evolving instead for the marketplace and for users seeking speedy answers to easy questions. The consequences are troubling, for researchers and for information science educators, with concerns ranging from the very relevance of search results and the unknowing of what is missing, to the novice searcher’s waning ability to frame potent queries and to learn ways to refine results. We report on a grounded theory study of search experiences of information professionals and graduate students (n = 20) that contributes a holistic understanding of web searching, using its findings both to frame what is lacking in the design evolution of search engines for complex information needs and to outline a way forward. One goal of the study was to evaluate an established model of web searching, called Net Lenses, a theoretical framework shown to be highly relevant during the study’s grounded theory secondary literature review. The original Net Lenses research used phenomenography to identify variation in the web search experiences of university students (n = 41), evidencing four categories according to the characteristics of searcher awareness, approach to learning, response to obstacles and search outcomes. This study validated the model and led to an expanded version, Net Lenses 2.0, with five categories of search experience, reflecting the complex information needs of more advanced searchers. This resultant Net Lenses 2.0 model is discussed with its implications for search engine design, for advanced searchers and also for learning-to-search modes, much needed by searchers seeking to develop their abilities. The study’s implications coalesce in a call to action for more inclusive search interface design, and an agenda is put forth for how information researchers, educators and literacy advocates can move forward in their intersecting domains.