bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural flexibility dominates over binding strength for supramolecular crystallinity
Authors: Caroprese Vincenzo , Tekin Cem , Cencen Veronika , Mosayebi Majid , Liverpool Tanniemola B. , Woolfson Derek N. , Fantner Georg , Bastings Maartje M.C. 
Published: September 2023

ABSTRACTSupramolecular crystallinity is abundantly present in nature and results from directional, weak non-covalent interactions between components. Bottom-up nanotechnology aims to exploit such phenomena to control the self-assembly of ordered networks and complex objects from rationally designed monomers. Like all crystalline materials, 2D supramolecular crystals develop from an initial nucleation site, followed by growth, based on directional interactions. Traditionally, the binding strength and directionality of interactions is thought to dictate the nucleation and crystal growth, whereas structural flexibility favours defects. Usually, macromonomers present multiple binding units with relative intramolecular flexibility that affects their intermolecular interactions. Thus far, the effects of such flexibility on supramolecular assembly have not been explored. Here we introduce the concept of “interface flexibility” and demonstrate its critical importance in the nucleation and growth of supramolecular crystalline networks. We show that tuning the interface flexibility greatly expands the available design space for synthetic supramolecular crystalline materials.
Preparing for serendipity: an illustrative analysis of participation in the field
Authors: Chapman Christopher , Kimura Asako , Sawabe Norio , Selmes-Suzuki Hiroyuki 
Published: September 2023

PurposeThis paper aims to explore how researchers in general, and field researchers in particular, might respond to systems of governance of the researchers' activity in ways that can support rather than distort the quality of the research.Design/methodology/approachWe draw upon literature on serendipity to develop a framework for engaging with the positive and negative potentials of systems of governance. We ground our analysis in discussion of participation in the field comprising two parts: first, the examination of our own activities and second, the accounts of participation found in two career-autobiographical interviews with emeritus professors of management accounting from Japan.FindingsWe highlight the potential for a productive tension between two contrasting perspectives that researchers might take on governance of their activity. A contractual perspective sees the value of targets and detailed pre-planning. A reflexive perspective sees the value of exploring the unexpected and considering many alternatives. We offer a framework for considering serendipity and the conditions that facilitate serendipity to help researchers maintain a productive tension between these perspectives.Research limitations/implicationsWe build upon retrospective accounts of two successful individuals whose careers evolved in a specific context. The intention is not to set out what might be generally achievable in a research career, nor to propose specific lines of action or planning in relation to specific systems of governance, since these vary across countries and over time. Rather, the paper draws on these materials to illuminate the more general challenge of preparing for serendipity in a way that goes beyond simple opportunism.Originality/valueWe analyse how researchers' mindfulness of serendipity and the nature of contexts that facilitate serendipity can encourage a productive tension between contractual and reflexive perspectives on governance of academic activity.
Influencing factors of social media addiction: a systematic review
Authors: Liang Mengli , Duan Qingyu , Liu Jiazhen , Wang Xiaoguang , Zheng Han 
Published: September 2023

PurposeAs an unhealthy dependence on social media platforms, social media addiction (SMA) has become increasingly commonplace in the digital era. The purpose of this paper is to provide a general overview of SMA research and develop a theoretical model that explains how different types of factors contribute to SMA.Design/methodology/approachConsidering the nascent nature of this research area, this study conducted a systematic review to synthesize the burgeoning literature examining influencing factors of SMA. Based on a comprehensive literature search and screening process, 84 articles were included in the final sample.FindingsAnalyses showed that antecedents of SMA can be classified into three conceptual levels: individual, environmental and platform. The authors further proposed a theoretical framework to explain the underlying mechanisms behind the relationships amongst different types of variables.Originality/valueThe contributions of this review are two-fold. First, it used a systematic and rigorous approach to summarize the empirical landscape of SMA research, providing theoretical insights and future research directions in this area. Second, the findings could help social media service providers and health professionals propose relevant intervention strategies to mitigate SMA.
Extended electrical equivalent circuit for modelling compound DC motors
Authors: Kandemir Beser Esra 
Published: September 2023

Purpose
The purpose of this study is to create an extended equivalent circuit model for a compound DC motor, consisting completely of electrical parameters and quantities.

Design/methodology/approach
The dynamic model of the compound DC motor is obtained by establishing the voltage equations for the armature and excitation circuit and the mechanical equation for the mechanical part. The mechanical parameters in the dynamic model are converted into electrical parameters with an electrical circuit proposed for the mechanical part. By combining the armature and excitation circuits with the electrical circuit created for the mechanical part, the extended equivalent circuit model of the compound DC motor is obtained. Because the proposed extended equivalent model is completely an electrical circuit, simulations can be made in the circuit simulation programme. Simulations of the proposed compound DC motor circuit were carried out, and the accuracy of the proposed circuit was verified by performing experimental studies with an existing compound motor.

Findings
When comparing speed and current profiles in experiments and simulations, it is seen that compound DC motor can be modelled with the proposed equivalent circuit including completely electrical elements in a simulation programme for the circuits. The results show that the proposed equivalent circuit satisfies the dynamic model of the compound motor.

Originality/value
In DC machine models, armature and excitation circuits are given as an electrical circuit, and mechanical part of the machine is modelled by only mechanical equations. The originality of this study is converting the dynamic model of an electrical machine consisting of electrical and mechanical equations into a completely electrical circuit. With the proposed method, the dynamic model of many motors can be converted into a completely electrical circuit. In this way, motors can be simulated as an electrical circuit in simulation programmes for the circuits, and the dynamic behaviour of motors can be obtained.
ISOMORPH: an efficient application on GPU for detecting graph isomorphism
Authors: Llanes Antonio , Imbernón Tudela Baldomero , Curado Manuel , Soto Jesús 
Published: September 2023

PurposeThe authors will review the main concepts of graphs, present the implemented algorithm, as well as explain the different techniques applied to the graph, to achieve an efficient execution of the algorithm, both in terms of the use of multiple cores that the authors have available today, and the use of massive data parallelism through the parallelization of the algorithm, bringing the graph closer to the execution through CUDA on GPUs.Design/methodology/approachIn this work, the authors approach the graphs isomorphism problem, approaching this problem from a point of view very little worked during all this time, the application of parallelism and the high-performance computing (HPC) techniques to the detection of isomorphism between graphs.FindingsResults obtained give compelling reasons to ensure that more in-depth studies on the HPC techniques should be applied in these fields, since gains of up to 722x speedup are achieved in the most favorable scenarios, maintaining an average performance speedup of 454x.Originality/valueThe paper is new and original.
As investors sow, can they reap? Examining the moderating effect of investment opportunity on the relationship between financial literacy and investment decision
Authors: Ghosh Ratan 
Published: September 2023

Purpose
This study aims to examine the investor's level of financial literacy and their attitude toward making any investment decision in the Bangladeshi capital market.

Design/methodology/approach
To measure the level of financial literacy of an individual investor, three variables have been used – financial knowledge, financial behavior and financial attitude. It also considers investment opportunity as a moderator variable to assess the effect of market-specific characteristics on financial literacy. Data have been collected through a structured questionnaire from 152 retail investors of the Dhaka Stock Exchange and Chittagong Stock Exchange. Smart-PLS 3.3 was used for analyzing the set of hypotheses for examining the relationships in the study.

Findings
Results found that financial attitude and financial behavior have a positive and significant relationship with investment decisions. Further evidence shows that investment opportunity moderates the relationship between financial attitude and financial behavior. This indicates that equity investors are suffering from market inefficiency and cannot ensure wealth maximization.

Research limitations/implications
Regulators should focus not only on financial literacy programs but also on market discipline, accountability and performance. This will encourage investors to invest their money wisely and independently.

Originality/value
The study adds value to the capital market literature in two ways. First, it investigates the success of financial literacy programs in Bangladesh to resolve the behavioral bias issue among investors, which used to affect their returns negatively. Second, the study introduces a very new and relevant variable as a moderator in the context of Bangladesh. Investment opportunity is a moderating variable developed from the efficient market hypothesis. Results reveal that investors are somehow financially literate over time, which can be a positive attribute for controlling behavioral bias. However, market inefficiency, corporate corruption, financial crime, insider trading and information asymmetry hamper the regular growth of the market. Hence, equity investors are unable to ensure wealth maximization in Bangladesh, where this kind of problem exists.
The role of social start-ups in entrepreneurial behaviour: the search for efficiency
Authors: Sanchez-Robles Manuel , Soriano Domingo Ribeiro , Puertas Rosa , Guaita Martínez José Manuel 
Published: September 2023

PurposeIn a world where sustainability is a major aim at all socioeconomic levels, social entrepreneurship plays an important role in achieving the goals that have been set. The purpose of this study is to broaden the knowledge of social start-ups, social incubators and founding teams, highlighting the value of each one. The aim is to use quantitative analysis to determine the possible link between social incubators and social start-up success and identify the founding team profile of social start-ups from each sector according to a sector-based ranking.Design/methodology/approachBootstrap data envelopment analysis (DEA) was used to calculate the efficiency of social incubators and social start-ups and thus quantify the impact, in terms of increased efficiency, of social incubators on social start-ups. Then, using cross-efficiency methodology, a synthetic index was used to analyse the founding team profile of social start-ups. The study is based on primary data from a survey of Spanish social incubators and social start-ups.FindingsThe study provides strong quantitative evidence of the positive effect of social incubators on the development of social start-ups. The size of this effect exceeds the know-how of start-ups. In terms of efficiency gains, this research quantifies the impact of social incubators on this entrepreneurial ecosystem. This impact exceeds 35%. The study also shows that the strongest social start-ups are in the food and information and communication technology (ICT) sectors. The founding teams in these cases have a strong business background, have a high educational level, receive subsidies and express a desire to retain control of the company.Originality/valueThere is an extensive literature dedicated to the analysis of the behaviour and characteristics of traditional incubators, accelerators and start-ups. However, despite the recent rise of social entrepreneurship, studies of social incubators and social start-ups remain scarce. This study provides two novel findings. (1) It shows the importance of creating a social start-up in a context where it receives support throughout all its development stages, providing quantitative insight into the contribution of social incubators and social start-ups. (2) It reveals the profile of founding teams in the highest-ranked business sectors.
Self-concept, self-organization and cross-border trading (CBT) behavior among females in Uganda
Authors: Sambaga Janepher Nsozi 
Published: September 2023

PurposeWomen cross-border traders face impediments in their entrepreneurial work from time-to-time. To overcome these impediments, females need to take on self-concept (self-esteem, self-confidence, social roles) mediated by self-organization (adaptability, interaction, team working) in order to thrive in cross-border trading (CBT), using evidence from Uganda. So, in this paper the authors explain the behavior of a female who succeeds in CBT with interest of scaling it up to empower more female entrepreneurs.Design/methodology/approachThis study is a correlational and cross-sectional type. A questionnaire survey of 288 females was used. The data collected were analyzed through SPSS.FindingsThe results reveal that self-concept, mediated by self-organization, controlled by tenure in business and the age of a female in CBT significantly influences CBT behavior among females in Uganda.Research limitations/implicationsThis study focused on females who are involved in CBT in Uganda. Therefore, it is likely that the results may not be generalized to other settings. The results show that for females to succeed in CBT, self-concept and self-organization affect CBT behavior once they are controlled by tenure in business and the age of a female in CBT at more than 30 years of age and longer than 5 years.Originality/valueThis study provides initial evidence that self-concept, mediated by self-organization, controlled by tenure in business and age of a CBT directly affects CBT behavior, using evidence from an African developing country – Uganda.
The effects of digital business strategy on the collaboration performance of companies: the moderating effect of digitally enabled performance measurement
Authors: Holopainen Mira , Saunila Minna , Ukko Juhani 
Published: September 2023

PurposeDigital transformation shapes industries and influences the forms of collaboration between companies. This study aims to investigate digital business strategy as a key to facilitating collaboration beyond organizational boundaries.Design/methodology/approachThe study focuses on the connection between digital business strategy and collaboration performance. The authors identify five types of digital business strategy elements based on the literature: development, objectives, resources, management capabilities, and digital leadership. The authors then studied the implications of these elements for collaboration performance using a survey. The study’s empirical data were collected from manufacturing and service companies, and 202 valid responses were received. The implications of the research elements were tested through regression analysis, which included the moderating effects of digitally enabled performance measurement.FindingsThe theoretical research framework identifies digital business strategy as a key determinant of collaboration performance, thus advancing the understanding of how companies can utilize digital business strategies and achieve enhanced collaboration performance. The results also show that the effect of digital business strategy on collaboration performance may be moderated by digitally enabled performance management.Practical implicationsThe results suggest that management capabilities associated with digital strategy are a crucial element in positively influencing collaboration performance. Further, digital strategy-related resources can be better managed with digitally enabled performance measurement system, which is reflected in improved collaborative performance. Thus, companies should invest in management capabilities and connect their digital business strategies and performance measurement systems to develop collaboration in digital transformation.Originality/valueThe study is among the first to translate an empirical understanding of the digital transformation of small and medium-sized companies into a conceptual framework of a digital business strategy.
Predicting breakthrough innovation engagement via hybrid intelligence: a moderated mediation model of self-extinction and social intelligence
Authors: Abbas Syed Mudasser , Liu Zhiqiang , Khushnood Muhammad 
Published: September 2023

PurposeThis study aims at investigating how hybrid intelligence might enhance employee engagement in breakthrough innovation. Specifically, it empirically examines the mediating role of self-extinction and moderating role of social intelligence.Design/methodology/approachThis study, using the lens of socio-technical system (STS) theory, collected data from 317 employees through cross-sectional survey. The hypotheses were tested using MPlus 8.3 by applying Structural Equation Modelling (SEM).FindingsThe results support the proposed model, suggesting that hybrid intelligence fosters employees' breakthrough innovation engagement and such a relationship is fully mediated by self-extinction. Besides, the findings provide support for the positive moderating impact of social intelligence on such indirect relationships in a way that high social intelligence will further strengthen the relationship.Originality/valueAs a pioneering contribution, the study uncovers the social mechanism that underlies hybrid intelligence–breakthrough innovation engagement relationship via self-extinction. The research suggests managers leveraging employees' social intelligence for playing a critical role in countering the negative impact of self-extinction by enhancing the employees' engagement in the breakthrough innovation process.
Tightly coupled IMU-Laser-RTK odometry algorithm for underground multi-layer and large-scale environment
Authors: Wang Minghao , Cong Ming , Liu Dong , Du Yu , Tian Xiaojing , Li Bing 
Published: September 2023

Purpose
The purpose of this study is to designed a robot odometry based on three dimensional (3D) laser point cloud data, inertial measurement unit (IMU) data and real-time kinematic (RTK) data in underground spatial features and gravity fluctuations environment. This method improves the mapping accuracy in two types of underground space: multi-layer space and large-scale scenarios.

Design/methodology/approach
An IMU–Laser–RTK fusion mapping algorithm based on Iterative Kalman Filter was proposed, and the observation equation and Jacobian matrix were derived. Aiming at the problem of inaccurate gravity estimation, the optimization of gravity is transformed into the optimization of SO(3), which avoids the problem of gravity over-parameterization.

Findings
Compared with the optimization method, the computational cost is reduced. Without relying on the wheel speed odometer, the robot synchronization localization and 3D environment modeling for multi-layer space are realized. The performance of the proposed algorithm is tested and compared in two types of underground space, and the robustness and accuracy in multi-layer space and large-scale scenarios are verified. The results show that the root mean square error of the proposed algorithm is 0.061 m, which achieves higher accuracy than other algorithms.

Originality/value
Based on the problem of large loop and low feature scale, this algorithm can better complete the map loop and self-positioning, and its root mean square error is more than double compared with other methods. The method proposed in this paper can better complete the autonomous positioning of the robot in the underground space with hierarchical feature degradation, and at the same time, an accurate 3D map can be constructed for subsequent research.
Knowledge sharing via social media in higher education: a bibliometric analysis
Authors: Fauzi Muhammad Ashraf , Mohamad Fazeeda , Abdul Wahab Norwazli 
Published: September 2023

PurposeThe purpose of this study is to review the application of social media for knowledge sharing (KS) in higher education. KS is the most crucial component in knowledge management. Higher education institutions (HEIs) are the epitome of knowledge creation and acquisition. With the advancement in technology and the embracement of social media, knowledge should be shared more freely and easily.Design/methodology/approachUsing a bibliometric analysis, this study applies bibliographic coupling and co-word analysis to analyze the present and future trends on KS using social media in HEIs. 455 journal publications and 21,181 cited references were retrieved from Web of Science (WoS) database.FindingsFindings show that most themes are categorized towards academics and students. Themes related to academics are the use of social media for expertise sharing and KS's impact on university-industry networking. In contrast, themes related to students revolved around the impacts of social media and academic performance.Practical implicationsImplications towards major social media practices on KS are discussed.Originality/valueThis study provides a novel, state-of-the-art bibliometric review of knowledge sharing via social media in the higher education context.