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This paper seeks to understand the strategic behaviour of researchers when producing knowledge in two scientific fields – nanotechnology and social sciences.

The author conducted semi-structured interviews with 43 researchers to analyse the needs for strategic interdependence (resource-sharing) and for organisational autonomy (decision-making) in knowledge production. When aligned, these two concepts form three modes of behaviour: mode1, mode2 and mode3.

The empirical study results show that, besides well-studied differences in various publications, there are large behaviour differences between social science and nanotechnology researchers. While nanotechnology researchers’ behaviours are mostly in mode3 (sharing resources; highly autonomous), social science researchers’ behaviours tend to be in mode1 (highly autonomous; no need to share resources).

This study delivers an understanding of the differences in the strategic behaviours of researchers in different scientific fields. The author proposes managerial interventions for research managers – university and research group leaders.

While most studies that compare scientific fields look at knowledge production outcomes, the author analyses conditions that differentiate these outcomes. To this end, the author compares individual researchers’ behaviours in different fields by analysing the need for collaboration and the need for autonomy.

Focusing on the global trade collapse and the subsequent recovery period, the purpose of this paper is to examine the export performance of firms that are involved in complex internationalization strategies.

The authors use a random-effects probit model with panel data and a dynamic panel data model (GMM system) for Spanish manufacturing firms from 2006 to 2013 period.

It is found that, once firm characteristics are controlled for, complex internationalization plays an important role in continuing to export and, additionally, positively influences the level of exports. Firms active in a complex mix of internationalization strategies have an added advantage, which enables them to confront the uncertainty of foreign markets in better conditions and translates to a lower likelihood of ceasing exporting and to higher export values.

The present paper throws light on this question by showing that the negative impact of trade collapse in 2009 on the export level was lower for firms inserted in complex internationalization strategies and the subsequent recovery was more intense.

The analysis goes one step further and investigates whether the impact is different during the trade collapse in 2009 and the following recovery. Here, previous empirical research at firm level on the role of complex internationalization strategies in trade is contradictory.

An appropriate assessment of sustainability in venture business is an important managerial and investment decision making. Data envelopment analysis (DEA) is utilized for sustainability assessment for venture business firms’ performance. Venture business firms are primary decision-making units (DMUs). Required information for this study is collected from Korea Listed Companies Association (KLCA) database. The proposed DEA model incorporates multiple inputs and outputs to assess the relative operational efficiency of the DMUs, identifying the best performance group among the peer venture business firms. The proposed model provides decision-makers with more accurate information for strategic insights to make better investment decisions in the competitive business environment.

The purpose of this paper is to test for and model non‐linearities in option price deviations from the Black Scholes (BS) model in FTSE 100 index options over the time period 1997‐2006.

The economic specification and estimation methodology is outlined, the data are discussed, and the empirical results are analysed.

The tests reject the linearity hypothesis and the paper shows that the exponential smooth transition autoregressive model is capable of capturing the non‐linear behaviour of option price misalignments. The paper finds that even though FTSE 100 index options are heavily traded, transaction costs prevent rapid adjustments of option prices from their “optimal” value.

The paper presents new empirical evidence, which explicitly allows for the possibility that option price misalignments from the BS price can be characterised by a non‐linear mean reverting process.

The purpose of this paper is to study a feasible visualization of large-size three-dimension (3D) color models which are beyond the maximum print size of newest paper-based 3D printer used 3D cutting-bonding frame (3D-CBF) and evaluate the effects of cutting angle and layout method on printing time of designed models.

Sixteen models, including cuboid model, cylinder model, hole model and sphere model with different shape features, were divided into two symmetric parts and printed by the Mcor IRIS HD 3D printer. Before printing, two sub-parts were rearranged in one of three layout methods. Nine scaled sizes of original models were printed to find the quantitative relationship between printing time and scale values in each type. For the 0.3 times of original models, six cutting angles were evaluated in detail.

The correlation function about colorization time and printed pages was proposed. Based on 3D-CBF, the correlation between printing time and scale size is statistically defined. Optimization parameters of designed parts visualization about cutting angel and layout method were found, even if their statistical results were difficult to model their effects on printing time of specimens.

The research is comparative and limited to the special models and used procedures.

The paper provides a feasible visualization and printing speed optimization methods for the further industrialization of 3D paper-based printing technology in cultural creative field.

This study undertakes a comprehensive investigation into the far-reaching repercussions of Covid-19 stimulus packages and containment policies on stock returns, meticulously examining a diverse array of 14 distinct markets.

This study employed the Panel SVAR model to analyze the relationships between various policies and stock market performance during the Covid-19 outbreak. The sample comprises 5432 daily observations spanning from December 2020 to January 2022 for the 14 selected markets, with missing data excluded.

The findings reveal three consistent impacts across all 14 markets. Firstly, stock returns immediately reversed and decreased within a day when Governments tightened containment policies. Secondly, economic stimulus packages led to a fall in stock returns. Thirdly, an increasing death rate caused the stock return to decrease in the following two days. These findings are supported by the uniform impulse responses in all three shocks, including common, composite and idiosyncratic shocks. Furthermore, all inverse root tests satisfy the stability conditions, indicating the stability and reliability of Panel SVAR estimations.

One vital implication is that all government decisions and measures taken against the shock of Covid-19 must consider economic impacts to avoid unnecessary financial losses and support the effective functioning of stock markets during similar shocks. Secondly, investors should view the decline in stock returns due to Covid-19 effects as temporary, resulting from anxiety about the outbreak. The study highlights the importance of monitoring the impact of policies on financial markets and the broader economy during crises. Overall, these insights can prove helpful for investment decisions and policymaking during future crises.

This study constitutes a noteworthy addition to the literature on behavioural finance and the efficient market hypothesis, offering a meticulous analysis of the multifaceted repercussions of Covid-19 on market interactions. In particular, it unveils the magnitude, duration and intricate patterns of market volatilities linked to significant shock events, encompassing a comprehensive dataset spanning 14 distinct markets.

A scholarly collaborative partnership is a capability that develops over time. Its quality is an outcome of the collaborative context, the alignment of purpose, development of work and learning processes, development of shared language and success stories. In this chapter, the authors engage in a metalogue where their shared reflection on the formation and development of their collaborative scholarship in the field of organization development and change is itself an instance of a process of shared scholarship. By adopting the format of a metalogue, they provide the voices of their individual thinking and their reflective conversation so as to offer an expression of the process of theorizing to scholars who wish to embark upon or study shared scholarship.

This chapter, based on a sociological approach, addresses the ethical issues of surveillance research from the perspective of the profound transformations that science and innovation are undergoing, as part of a broader shift from modern to post-modern society, affecting also other major social institutions (such as government, religion, family, and public administration). The change occurring in the science and technology system is characterised by diminishing authority, uncertainty about internal mechanisms and standards, and a declining and increasingly difficult access to resources. Such changes, also related to globalisation and new digital technologies, have transformed the way research is conducted and disseminated. Research is now more open and its results more easily accessible to citizens.

Scientific research is also put under increased public scrutiny, while, at the same time, public distrust and disaffection towards science is rising. In such a context, it is more important than ever to make sure that research activities are not compromised by fraudulent and unethical practices. The legitimate expectations of citizens to enjoy their rights, including the ability to protect their private sphere, are growing. Scientific and technological development is deeply interrelated with the widespread awareness of these rights and the possibility of exercising them, but it produces also new risks, while a widespread sense of insecurity increases. The digital revolution, while improving people’s quality of life, offers at the same time new opportunities for crime and terrorism, which in turn has produced a demand to strengthen security systems through increasingly advanced and intrusive surveillance technologies. Misconduct in the field of surveillance may not only undermine the quality of research, but also further impair society’s trust in research and science as well as in the State and its institutions.

Proper performance measurement is an important issue in library operational management. A data envelopment analysis (DEA) model is applied to evaluate the relative operational efficiency of 25 U.S. private research-university library members of the Association of Research Libraries (ARL). Operations of each library decision-making unit are considered as a production process using four resource input and four service output variables. The model results are analyzed and compared with the efficient group and a peer group by using a t-test. The model provides decision-makers with more accurate information to implement better library services with appropriate resource allocation.

Previous theoretical and empirical literature has advocated growth in the access and use of flexible working arrangements by establishing their link with individual and especially parental subjective well-being. Given this, the current research investigates impact that their own or their partners’ transition to flexitime and teleworking has on parental subjective well-being. The cross-partner dimension has not been explored yet by prior studies. Measures for cognitive, subjective well-being include satisfaction with life overall, satisfaction with the amount of leisure time, and satisfaction with health. Ordered logit longitudinal models are estimated using Understanding Society data from 2009 to 2019. Corroborating prior studies, the current analysis finds that mothers’ transition to flexitime and teleworking has a positive impact on their leisure time and health satisfaction. For fathers, switching to telework improves satisfaction with their amount of leisure time, while adopting flexitime can take a toll on self-reported health satisfaction. However, contrary to expectations, mothers’ move to teleworking can be injurious for fathers’ life satisfaction levels, yet fathers’ adoption of flexitime fosters mothers’ satisfaction with their leisure time amount.