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Background Phosphorus (P) is one of the most essential macronutrients on the planet, and microorganisms (including bacteria and archaea) play a key role in P cycling in all living things and ecosystems. However, our comprehensive understanding of key P cycling genes (PCGs) and microorganisms (PCMs) as well as their ecological functions remains elusive even with the rapid advancement of metagenome sequencing technologies. One of major challenges is a lack of a comprehensive and accurately annotated P cycling functional gene database. Results In this study, we constructed a well-curated P cycling database (PCycDB) covering 139 gene families and 10 P metabolic processes, including several previously ignored PCGs such as pafA encoding phosphate-insensitive phosphatase, ptxABCD (phosphite-related genes), and novel aepXVWPS genes for 2-aminoethylphosphonate transporters. We achieved an annotation accuracy, positive predictive value (PPV), sensitivity, specificity, and negative predictive value (NPV) of 99.8%, 96.1%, 99.9%, 99.8%, and 99.9%, respectively, for simulated gene datasets. Compared to other orthology databases, PCycDB is more accurate, more comprehensive, and faster to profile the PCGs. We used PCycDB to analyze P cycling microbial communities from representative natural and engineered environments and showed that PCycDB could apply to different environments. Conclusions We demonstrate that PCycDB is a powerful tool for advancing our understanding of microbially driven P cycling in the environment with high coverage, high accuracy, and rapid analysis of metagenome sequencing data. The PCycDB is available at https://github.com/ZengJiaxiong/Phosphorus-cycling-database . AHu1_cCWG4mk_RgzEdzu5A Video Abstract

Regionality, comprehensiveness, and complexity are regarded as the basic characteristics of geography. The exploration of their core connotations is an essential way to achieve breakthroughs in geography in the new era. This paper focuses on the important method in geographic research: Geographic modeling and simulation. First, we clarify the research requirements of the said three characteristics of geography and its potential to address geo-problems in the new era. Then, the supporting capabilities of the existing geographic modeling and simulation systems for geographic research are summarized from three perspectives: Model resources, modeling processes, and operational architecture. Finally, we discern avenues for future research of geographic modeling and simulation systems for the study of regional, comprehensive and complex characteristics of geography. Based on these analyses, we propose implementation architecture of geographic modeling and simulation systems and discuss the module composition and functional realization, which could provide theoretical and technical support for geographic modeling and simulation systems to better serve the development of geography in the new era.

Purpose Consumers’ evaluation of online review helpfulness has been widely examined. The extant literature suggests that the attributes of review content (e.g. review length and extremity) influence review helpfulness. However, review length cannot fully reflect the richness of the review content. Anchoring on information diagnosticity and extremity bias, this study aims to explore the effect of review comprehensiveness on its helpfulness. Design/methodology/approach Field observations were obtained from 11,812 online restaurant reviews on a popular restaurant review platform. A controlled experiment was conducted to further delineate the effect of review comprehensiveness. Findings Review comprehensiveness moderates the effects of review length and an extremely negative review on helpfulness. It also confirms that for reviews of the same length, one covering more aspects is perceived by consumers as more helpful. Practical implications Different aspects of information in a review can efficiently assist decision-making. The results suggest that review platforms can better design their interface by providing separate areas for different product aspects. The platform can then receive more comprehensive and helpful reviews and increase the diagnosticity of these. Originality/value The study enriches the literature by introducing review comprehensiveness and examining the joint effects of review length and comprehensiveness on helpfulness. It also contributes to the literature by indicating how to reduce the effect of review extremity.

Is strategic decision comprehensiveness beneficial for firms? Despite significant empirical attention on this research question, inconsistent findings have prevented strong insights from being formed. To help the field move forward, we address long-standing controversies surrounding whether comprehensiveness is beneficial for firms, and whether environmental dynamism enhances or diminishes its effects. We meta-analyze 37 studies and provide the most definitive evidence possible regarding the strategic value of decision comprehensiveness. Our analyses show (1) that strategic decision comprehensiveness and organizational outcomes are positively related to a meaningful degree when subjective outcome measures are used, and (2) that environmental dynamism does not have a moderating impact on this comprehensiveness–outcomes linkage. Our results indicate that measurement strategies and methodological choices may have primarily driven the effects of strategic decision comprehensiveness reported in the literature. They also suggest that long-standing ideas related to moderating effects of dynamism do not hold. We define an agenda for future research and a roadmap for empirical efforts.

PurposeThe purpose of this paper is to describe how top management teams' expertise in comprehensive and intuitive decision-making contributes to effective improvisational decision-making in times of crisis. Also, improvisational decision-making, as a means for balancing or transcending the dualities of comprehensive and intuitive decision processes, enables the three strategic decision-making processes to coexist and contribute to decision-quality when in crisis.Design/methodology/approachAfter providing a general overview of comprehensive, intuitive and improvisational decision-making and introducing paradox theory, this paper offers a conceptual model of the link between improvisational decision-making and decision quality in crisis situations. Three boundary conditions are discussed: expertise in comprehensive decision-making, expertise in intuitive decision-making and the paradoxical balanced combination of comprehensive and intuitive decision-making. Two brief cases are included to illustrate the theory.FindingsAlthough comprehensive and intuitive decision-making are rooted in distinct information processing approaches with different cognitive demands and at times contradictory logics, they can be combined in unique ways when senior executives improvise decisions in crisis situations.Practical implicationsParticularly in the contexts of crises, it is critical for managers to understand the value of improvisational decision-making and the balanced combination of decision-making tools available to them in order to make rapid and quality decisions. Potential action research interventions are suggested.Originality/valueThis paper offers an integrated model of decision-making, encompassing comprehensive, intuitive and improvisational processes and highlights the combinatory and synergistic nature of these approaches in a crisis.

Purpose: This study investigates, from the readers’ perspective, whether ChatGPT can generate research abstracts that are perceived as more readable, comprehensive, trustworthy, and overall better than human-written versions. Design/methodology/approach: Through the lens of Cognitive Load and Processing Fluency theories, it explores how generative artificial intelligence (GenAI) tools may influence readers’ assessment of the textual characteristics of accounting and auditing scientific texts. Using a quasi-experimental method, it gathered fifteen qualitative papers from a leading accounting journal, for which their original abstracts were rewritten by ChatGPT in its version 4.0, based on a standardised prompt. Fifteen experienced researchers from Portugal and Brazil evaluated these two versions through a blinded process. The assessment also included content analysis by NVivo and readability indices. Findings: While ChatGPT-generated abstracts are generally preferred, particularly for readability and comprehensiveness, they do not consistently outperform human-written versions, as the messages’ perceived trustworthiness appears to support the respondents’ judgment. Research limitations/implications: The findings are primarily constrained by a small sample size from only two countries, a limited journal scope, and a single GenAI tool, which limits its generalizability. Besides, the lack of respondents’ familiarity with sources and the inclusion of solely expert researchers may have biased the trustworthiness perception. Practical implications: The findings have implications for future uses of GenAI in research dissemination and academic publishing. Originality/value: Despite its constraints, it offers novel insights into the potential applications of GenAI in academia, emphasising that content richness and precision should not be compromised by oversimplification, particularly in technical and scientific disciplines.

Despite the importance of standardized terminology, few rigorous studies have addressed the issue of classification in disaster management. This study aims to balance classification by emphasizing both comprehensiveness and simplicity, ultimately enhancing the effectiveness of disaster management practices. A systematic literature review serves as the primary methodology. The study compares partially exclusive and overlapping classifications with fully inclusive and non-overlapping classifications, using five key terms: major stakeholders, hazards, risks, disaster management cycle, and emergency support functions. A core principle is that stakeholders will transform partially exclusive and overlapping classifications into fully inclusive and non-overlapping ones, while incorporating the direct and indirect impacts of classification, the broader Earth community, public awareness, emergency training, and other factors. This study presents a more balanced perspective on classification than previous research.

Grounded in the aging and complexity literature, this experimental study investigated the moderating role of individuals’ cognitive age on the impact of recommendation agent (RA) comprehensiveness (i.e., amount of detail involved in using an RA) on users’ perceptions regarding RA complexity and RA usefulness. An experiment involving 140 online shoppers was conducted to understand the experiences of cognitively younger and older adults while using low or high comprehensiveness RAs designed for this study. Results reveal the tension that exists for older adults when using highly comprehensive RAs, as they perceive them to be more complex but also more useful in providing recommended products. The finding that cognitively older adults perceive high comprehensiveness RAs to be more useful compared to low comprehensiveness RAs provides a novel insight to the information systems literature, as it is contrary to the prevalent belief that “the older the user, the simpler the information technology should be.” Theoretically, this study improves our understanding of how increasing levels of RA comprehensiveness differentially affects the perceptions of RA complexity and RA usefulness of users of different cognitive ages. For practitioners, the results provide important guidelines about the kind of RA that is appropriate for consumers with different cognitive ages.

Research summary: In contrast to previous research that emphasized macro-to-macro relationships, this study investigates how strategic decision characteristics shape the creative process at the organizational micro-level. Whereas individual creativity thrives on novel combinations of diverse knowledge and perspectives, we argue that the characteristics of strategic decisions influence the extent to which employees' combinatory activities enhance their creativity. Multilevel modeling results based on 638 employees from 34 organizations show that the positive relationship between tertius iungens (TI) orientation and creative performance is reinforced by strategic decision comprehensiveness, especially when coupled with low strategic decision speed. The results suggest that, paradoxically, when top managers consider a narrower range of options and act more quickly to respond to challenges in the external environment, they risk constraining creative processes within the organization. Managerial summary: To innovate, managers are often advised to make strategic decisions based on changes in their external business environment. Our research suggests that managers should also consider how strategic decision-making enables the social processes through which employees generate creative ideas essential to organizational innovation. Our results show that employees who bring people in their network and their diverse ideas together (i.e., the tertius iungens [TI] orientation) tend to improve creative performance. However, for those employees is it easier to develop creative ideas when strategic decisions are comprehensive and slow? Paradoxically, when top managers consider a narrower range of options and act more quickly to respond to challenges in the external environment, they risk constraining the social processes that lead to creativity within the organization.

The coronavirus disease 2019 Living OVerview of Evidence (COVID-19 L·OVE) is a public repository and classification platform for COVID-19 articles. The repository contains more than 430,000 articles as of September 20, 2021 and intends to provide a one-stop shop for COVID-19 evidence. Considering that systematic reviews conduct high-quality searches, this study assesses the comprehensiveness and currency of the repository against the total number of studies in a representative sample of COVID-19 systematic reviews. Our sample was generated from all the studies included in the systematic reviews of COVID-19 published during April 2021. We estimated the comprehensiveness of COVID-19 L·OVE repository by determining how many of the individual studies in the sample were included in the COVID-19 L·OVE repository. We estimated the currency as the percentage of studies that was available in the COVID-19 L·OVE repository at the time the systematic reviews conducted their own search. We identified 83 eligible systematic reviews that included 2,132 studies. COVID-19 L·OVE had an overall comprehensiveness of 99.67% (2,125/2,132). The overall currency of the repository, that is, the proportion of articles that would have been obtained if the search of the reviews was conducted in COVID-19 L·OVE instead of searching the original sources, was 96.48% (2,057/2,132). Both the comprehensiveness and the currency were 100% for randomized trials (82/82). The COVID-19 L·OVE repository is highly comprehensive and current. Using this repository instead of traditional manual searches in multiple databases can save a great amount of work to people conducting systematic reviews and would improve the comprehensiveness and timeliness of evidence syntheses. This tool is particularly important for supporting living evidence synthesis processes. •The COVID-19 L·OVE is a free access repository and classification platform.•The comprehensiveness and currency of the repository were assessed.•We compared it against all the studies included in the SRs published during April 2021.•The COVID-19 L·OVE repository is highly comprehensive and current.•This evaluation addressed only primary studies and not the other types of articles.