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ABSTRACTWe examine sensebreaking, a meaning void, that entrepreneurs experience due to critical feedback from early stakeholders using the socially situated cognition perspective. We show that sensebreaking aids novel sensemaking via three mechanisms—redirecting, reframing, and questioning—through longitudinal analysis of weekly diary reports that we collected from 30 entrepreneurs for one year. We describe the cognitive changes due to novel sensemaking. We derive a process model that illustrates how sensebreaking-sensemaking iterations over time effect changes to the shared cognition between entrepreneurs and their stakeholders while driving opportunity development. We advance the opportunity coconstruction literature by adding microlevel understanding of stakeholder interactions and explicating their effects on entrepreneurial cognition.

Streamflow in high-mountain Asia is influenced by meltwater from snow and glaciers, and determining impacts of climate change on the region’s cryosphere is essential to understand future water supply. Past and future changes in seasonal snow are of particular interest, as specifics at the scale of the full region are largely unknown. Here we combine models with observations to show that regional snowmelt is a more important contributor to streamflow than glacier melt, that snowmelt magnitude and timing changed considerably during 1979–2019 and that future snow meltwater supply may decrease drastically. The expected changes are strongly dependent on the degree of climate change, however, and large variations exist among river basins. The projected response of snowmelt to climate change indicates that to sustain the important seasonal buffering role of the snowpacks in high-mountain Asia, it is imperative to limit future climate change.

The land ice contribution to global mean sea level rise has not yet been predicted1using ice sheet and glacier models for the latest set of socio-economic scenarios, nor using coordinated exploration of uncertainties arising from the various computer models involved. Two recent international projects generated a large suite of projections using multiple models2–8, but primarily used previous-generation scenarios9and climate models10, and could not fully explore known uncertainties. Here we estimate probability distributions for these projections under the new scenarios11,12using statistical emulation of the ice sheet and glacier models. We find that limiting global warming to 1.5 degrees Celsius would halve the land ice contribution to twenty-first-century sea level rise, relative to current emissions pledges. The median decreases from 25 to 13 centimetres sea level equivalent (SLE) by 2100, with glaciers responsible for half the sea level contribution. The projected Antarctic contribution does not show a clear response to the emissions scenario, owing to uncertainties in the competing processes of increasing ice loss and snowfall accumulation in a warming climate. However, under risk-averse (pessimistic) assumptions, Antarctic ice loss could be five times higher, increasing the median land ice contribution to 42 centimetres SLE under current policies and pledges, with the 95th percentile projection exceeding half a metre even under 1.5 degrees Celsius warming. This would severely limit the possibility of mitigating future coastal flooding. Given this large range (between 13 centimetres SLE using the main projections under 1.5 degrees Celsius warming and 42 centimetres SLE using risk-averse projections under current pledges), adaptation planning for twenty-first-century sea level rise must account for a factor-of-three uncertainty in the land ice contribution until climate policies and the Antarctic response are further constrained.

Previous studies indicated existing, albeit limited, genetic-geographic population substructure in the Dutch population based on genome-wide data and a lack of this for mitochondrial SNP based data. Despite the aforementioned studies, Y-chromosomal SNP data from the Netherlands remain scarce and do not cover the territory of the Netherlands well enough to allow a reliable investigation of genetic-geographic population substructure. Here we provide the first substantial dataset of detailed spatial Y-chromosomal haplogroup information in 2085 males collected across the Netherlands and supplemented with previously published data from northern Belgium. We found Y-chromosomal evidence for genetic–geographic population substructure, and several Y-haplogroups demonstrating significant clinal frequency distributions in different directions. By means of prediction surface maps we could visualize (complex) distribution patterns of individual Y-haplogroups in detail. These results highlight the value of a micro-geographic approach and are of great use for forensic and epidemiological investigations and our understanding of the Dutch population history. Moreover, the previously noted absence of genetic-geographic population substructure in the Netherlands based on mitochondrial DNA in contrast to our Y-chromosome results, hints at different population histories for women and men in the Netherlands.

Mountains are the water towers of the world, supplying a substantial part of both natural and anthropogenic water demands1,2. They are highly sensitive and prone to climate change3,4, yet their importance and vulnerability have not been quantified at the global scale. Here we present a global water tower index (WTI), which ranks all water towers in terms of their water-supplying role and the downstream dependence of ecosystems and society. For each water tower, we assess its vulnerability related to water stress, governance, hydropolitical tension and future climatic and socio-economic changes. We conclude that the most important (highest WTI) water towers are also among the most vulnerable, and that climatic and socio-economic changes will affect them profoundly. This could negatively impact 1.9 billion people living in (0.3 billion) or directly downstream of (1.6 billion) mountainous areas. Immediate action is required to safeguard the future of the world’s most important and vulnerable water towers.

We investigate the control of the morphological variables on the 2000–2016 glacier‐wide mass balances of 6,470 individual glaciers of High Mountain Asia. We separate the data set into 12 regions assumed to be climatically homogeneous. We find that the slope of the glacier tongue, mean glacier elevation, percentage of supraglacial debris cover, and avalanche contributing area all together explain a maximum of 48% and a minimum of 8% of the glacier‐wide mass balance variability, within a given region. The best predictors of the glacier‐wide mass balance are the slope of the glacier tongue and the mean glacier elevation for most regions, with the notable exception of the inner Tibetan Plateau. Glacier‐wide mass balances do not differ significantly between debris‐free and debris‐covered glaciers in 7 of the 12 regions analyzed. Lake‐terminating glaciers have more negative mass balances than the regional averages, the influence of lakes being stronger on small glaciers than on large glaciers. Debris‐free and debris‐covered glaciers have statistically indistinguishable glacier‐wide mass balances over 2000–2016Lake‐terminating glaciers on average have more negative mass balances than land‐terminating glaciersMorphological variables explain 8% to 48% of the variance of High Mountain Asia glacier mass balances for the period 2000–2016

Glaciers in the high mountains of Asia (HMA) make a substantial contribution to the water supply of millions of people, and they are retreating and losing mass as a result of anthropogenic climate change at similar rates to those seen elsewhere. In the Paris Agreement of 2015, 195 nations agreed on the aspiration to limit the level of global temperature rise to 1.5 degrees Celsius ( °C) above pre-industrial levels. However, it is not known what an increase of 1.5 °C would mean for the glaciers in HMA. Here we show that a global temperature rise of 1.5 °C will lead to a warming of 2.1 ± 0.1 °C in HMA, and that 64 ± 7 per cent of the present-day ice mass stored in the HMA glaciers will remain by the end of the century. The 1.5 °C goal is extremely ambitious and is projected by only a small number of climate models of the conservative IPCC’s Representative Concentration Pathway (RCP)2.6 ensemble. Projections for RCP4.5, RCP6.0 and RCP8.5 reveal that much of the glacier ice is likely to disappear, with projected mass losses of 49 ± 7 per cent, 51 ± 6 per cent and 64 ± 5 per cent, respectively, by the end of the century; these projections have potentially serious consequences for regional water management and mountain communities.

Ice cliff distribution plays a major role in determining the melt of debris‐covered glaciers but its controls are largely unknown. We assembled a data set of 37,537 ice cliffs and determined their characteristics across 86 debris‐covered glaciers within High Mountain Asia (HMA). We find that 38.9% of the cliffs are stream‐influenced, 19.5% pond‐influenced and 19.7% are crevasse‐originated. Surface velocity is the main predictor of cliff distribution at both local and glacier scale, indicating its dependence on the dynamic state and hence evolution stage of debris‐covered glacier tongues. Supraglacial ponds contribute to maintaining cliffs in areas of thicker debris, but this is only possible if water accumulates at the surface. Overall, total cliff density decreases exponentially with debris thickness as soon as the debris layer reaches a thickness of over 10 cm. Debris‐covered glaciers are common throughout the world's mountain ranges and are characterized by the presence of steep ice cliffs among the debris‐covered ice. It is well‐known that the cliffs are responsible for a large portion of the melt of these glaciers but the controls on their formation, development and distribution across glaciers remains poorly understood. Novel mapping approaches combined with high‐resolution satellite and drone products enabled us to disentangle some of these controls and to show that the ice cliffs are generally formed and maintained by the surface hydrology (ponds or streams) or by the opening of crevasses. As a result, they depend both at the local and glacier scale on the dynamic state of the glaciers as well as the evolution stage of their debris cover. This provides a pathway to better represent their contribution to glacier melt in predictive glacier models. We derived an unprecedented data set of 37,537 ice cliffs and their characteristics across 86 debris‐covered glaciers in High Mountain AsiaWe find that 38.9% of the cliffs are stream‐influenced, 19.5% pond‐influenced and 19.7% are crevasse‐originatedIce cliff distribution can be predicted by velocity, as an indicator of the dynamics and state of evolution of debris‐covered glaciers We derived an unprecedented data set of 37,537 ice cliffs and their characteristics across 86 debris‐covered glaciers in High Mountain Asia We find that 38.9% of the cliffs are stream‐influenced, 19.5% pond‐influenced and 19.7% are crevasse‐originated Ice cliff distribution can be predicted by velocity, as an indicator of the dynamics and state of evolution of debris‐covered glaciers

While extant literature assumes an inverted U‐shaped relationship between tie‐strength and new knowledge acquisition, our study suggests a positive, curvilinear relationship. Our multiple case study shows that firms use specific relational capabilities—which we define “bridging capabilities”—to acquire new knowledge. These bridging capabilities mitigate the risk of overembeddedness in strong ties through increasing multiplexity, that is, through establishing and leveraging multiple relations within a single tie. Our findings suggest that small firms should invest more in the exploration of strong ties instead of increasing their weak tie network. Doing so helps them to reduce alliance complexity, thereby increasing alliance management efficiency and alliance ambidexterity.

AbstractKnowledge integration has been theorised at the levels of organisations and inter-organisational dyads. However, no theory exists yet of the integration of knowledge from an organisation's environment. This paper addresses this void in the literature by presenting a theory of external knowledge integration. It considers organisations as open systems confronted with intra-organisational, inter-organisational, and extra-organisational knowledge heterogeneity. It presents a prescriptive theory of how organisations should deal with these three levels of heterogeneity by three external knowledge integration capabilities: knowledge identification, knowledge acquisition, and knowledge utilisation. The paper develops propositions of how organisations should balance divergent and convergent external knowledge integration capabilities to achieve flexibility, efficiency, and scope. As such, the paper builds further on Grant's seminal work and provides a prescriptive theory of external knowledge integration.

Knowledge integration has been theorised at the levels of organisations and inter-organisational dyads. However, no theory exists yet of the integration of knowledge from an organisation's environment. This paper addresses this void in the literature by presenting a theory of external knowledge integration. It considers organisations as open systems confronted with intra-organisational, inter-organisational, and extra-organisational knowledge heterogeneity. It presents a prescriptive theory of how organisations should deal with these three levels of heterogeneity by three external knowledge integration capabilities: knowledge identification, knowledge acquisition, and knowledge utilisation. The paper develops propositions of how organisations should balance divergent and convergent external knowledge integration capabilities to achieve flexibility, efficiency, and scope. As such, the paper builds further on Grant's seminal work and provides a prescriptive theory of external knowledge integration.

With the current growth of the Internet, we expect significant changes in how and to what extent companies acquire business information. By comparing two studies on information seeking by small and medium-sized enterprises (SMEs) carried out in 1982 and 2003 respectively, and comparing the results with other studies, this paper indicates that the reality is rather to the contrary. SMEs remain remarkably stable in their information seeking behaviour, in the sources they use and in the problems they face. The paper concludes with a discussion on the likely causes of this consistency and its consequences for online intermediaries.

With the current growth of the Internet, we expect significant changes in how and to what extent companies acquire business information. By comparing two studies on information seeking by small and medium-sized enterprises (SMEs) carried out in 1982 and 2003 respectively, and comparing the results with other studies, this paper indicates that the reality is rather to the contrary. SMEs remain remarkably stable in their information seeking behaviour, in the sources they use and in the problems they face. The paper concludes with a discussion on the likely causes of this consistency and its consequences for online intermediaries.

The hydrological response to climate change in mountainous basins manifests itself at varying spatial and temporal scales, ranging from catchment to large river basin scale and from sub‐daily to decade and century scale. To robustly assess the 21st century climate change impact for hydrology in entire High Mountain Asia (HMA) at a wide range of scales, we use a high resolution cryospheric‐hydrological model covering 15 upstream HMA basins to quantify the compound effects of future changes in precipitation and temperature based on the range of climate change projections in the Coupled Model Intercomparison Project Phase 6 climate model ensemble. Our analysis reveals contrasting responses for HMA's rivers, dictated by their hydrological regimes. At the seasonal scale, the earlier onset of melting causes a shift in the magnitude and peak of water availability, to earlier in the year. At the decade to century scale, after an initial increase, the glacier melt declines by the mid or end of the century except for the Tarim river basin, where it continues to increase. Despite a large variability in hydrological regimes across HMA's rivers, our results indicate relatively consistent climate change responses across HMA in terms of total water availability at decadal time scales. Although total water availability increases for the headwaters, changes in seasonality and magnitude may diverge widely between basins and need to be addressed while adapting to future changes in a region where food security, energy security as well as biodiversity, and the livelihoods of many depend on water from HMA. The mountains of Asia have large reservoirs of snow and ice, which are the source of water to the people living in the mountains and downstream, mainly during the dry season. However, due to recent warming, these reserves are melting faster and depleting year by year. We use a computer model to understand what will happen to these volumes of snow and ice and the total volume of water, which also includes rain and groundwater, in the 15 main rivers under future climate change scenarios. We find that the water generated upstream will increase for all the rivers in the future. However, there would be either too little or too much water for different seasons in the future. The peak volume of water will increase in magnitude and the peak time will shift to earlier in the season (in the month of May instead of current June or July) for most rivers in the western part of Asia. This change in the timing of water will have severe impacts on the livelihoods of mountain communities as well as populations downstream where food production, energy production as well as biodiversity depend on the amount and timing of mountain water supply. Contrasting seasonal responses are observed for High Mountain Asia's (HMA) rivers, dictated by their hydrological regimesThe onset of early snow and glacier melt in the spring season affects the magnitude and peak water availabilityA relatively consistent decadal climate change responses across HMA, despite a large variability in hydrological regimes Contrasting seasonal responses are observed for High Mountain Asia's (HMA) rivers, dictated by their hydrological regimes The onset of early snow and glacier melt in the spring season affects the magnitude and peak water availability A relatively consistent decadal climate change responses across HMA, despite a large variability in hydrological regimes

An amendment to this paper has been published and can be accessed via a link at the top of the paper.