bluuebunny/crossref_metadata_2025_split huggingface dataset:
TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins
Authors: Kannapinn Maximilian , Schäfer Michael , Weeger Oliver 
Published: July 2024

PurposeSimulation-based digital twins represent an effort to provide high-accuracy real-time insights into operational physical processes. However, the computation time of many multi-physical simulation models is far from real-time. It might even exceed sensible time frames to produce sufficient data for training data-driven reduced-order models. This study presents TwinLab, a framework for data-efficient, yet accurate training of neural-ODE type reduced-order models with only two data sets.Design/methodology/approachCorrelations between test errors of reduced-order models and distinct features of corresponding training data are investigated. Having found the single best data sets for training, a second data set is sought with the help of similarity and error measures to enrich the training process effectively.FindingsAdding a suitable second training data set in the training process reduces the test error by up to 49% compared to the best base reduced-order model trained only with one data set. Such a second training data set should at least yield a good reduced-order model on its own and exhibit higher levels of dissimilarity to the base training data set regarding the respective excitation signal. Moreover, the base reduced-order model should have elevated test errors on the second data set. The relative error of the time series ranges from 0.18% to 0.49%. Prediction speed-ups of up to a factor of 36,000 are observed.Originality/valueThe proposed computational framework facilitates the automated, data-efficient extraction of non-intrusive reduced-order models for digital twins from existing simulation models, independent of the simulation software.
Roles of barriers and gender in explaining consumers' chatbot resistance in banking: a fuzzy approach
Authors: Chaouali Walid , Souiden Nizar , Aloui Narjess , Ben Dahmane Mouelhi Norchène , Woodside Arch George , Ben Abdelaziz Fouad 
Published: July 2024

PurposeThis study strives to better understand resistance to chatbots in the banking sector. To achieve this, it proposes a model based on the paradigm of resistance to innovation and the complexity theory. In addition, it explores the role of gender in relation to chatbot resistance.Design/methodology/approachData are collected in France using a snowball sampling technique. The sample is composed of 385 participants. FsQCA is used to identify all possible combinations of usage, value, risk, tradition and image barriers, as well as two gender conditions that predict resistance to chatbots.FindingsThe results reveal that the sample provides four possible solutions/combinations that may explain resistance to chatbots. These are: (i) a combination of usage, value, risk and tradition barriers, (ii) a combination of value, risk, tradition and image barriers, (iii) a combination of usage, value, risk and image barriers, along with the male gender and (iv) a combination of usage, value, tradition and image barriers, along with the female gender.Research limitations/implicationsThis study provides valuable and straightforward theoretical and managerial implications. The proposed solutions suggest a deep understanding of chatbot resistance. Chatbot developers and marketers can highly benefit from these findings to enhance user acceptance.Originality/valueIn this study, barriers are envisioned within the larger context of innovation resistance. The interactions among barriers causing resistance to chatbots are examined through the lens of the complexity theory, while the data analysis employs the fsQCA approach. Furthermore, this study sheds light on the role of gender in explaining chatbot resistance in the banking sector.
Theoretical perspectives in reverse logistics research
Authors: Aryee Raphael 
Published: July 2024

PurposeTheory is an essential prerequisite in the development and maturation of any scholarly discipline. This study offers insight into theory development in reverse logistics (RL) studies, provides a synopsis of the theories employed in RL studies, and presents a comprehensive framework for choosing and applying theories in RL studies.Design/methodology/approachUsing the systematic literature review approach, 265 various RL articles were analysed to discover the trend in using theories in RL studies and classify the individual theories employed. The analysis of the theoretical classification is presented to explain the type and frequency of the usage of theories.FindingsThe analysis discovered 52 specific theories from the sample. These theories were categorised under various categories: competitive, inventory, economic, decision, etc. The institutional, stakeholder, transaction cost economies, resource-based view, natural resource-based view, dynamic capability, agency and theory of planned behaviour were some of the key theories discovered. Finally, a comprehensive framework is provided to aid researchers in choosing and utilising theories.Research limitations/implicationsThis study gives authors, reviewers and editors perspectives on utilising theories in RL studies. It will give them the impetus to develop theories in RL and limit the borrowing or extension of theories from other disciplines to RL studies.Originality/valueTo the best of the researcher's knowledge, this is the first attempt to comprehensively provide an anatomical perspective into theory usage in RL studies. Besides, this study's proposed framework for selecting and using theories is a novelty in the domain of RL.
Industry dynamism, SC risk management strategies and manufacturing plant performance
Authors: Deshpande Sujeet , Hudnurkar Manoj 
Published: July 2024

PurposeAccording to extant Supply Chain Risk Management (SCRM) literature, manufacturing firms must align their choice of SC bridging or buffering strategies with their operating environment to achieve high plant performance and minimize SC disruption impacts. However, very few empirical studies have examined the relative performance of these strategies in dynamic industry environments. This study aims to address this research gap. This study also seeks to supplement the limited empirical research that has examined the empirical relationships between a firm’s Supply Base Complexity (SBC), the likelihood of SC disruptions, and plant performance.Design/methodology/approachThis study uses data from a cross-sectional survey of 202 manufacturing firms in India. The data is analyzed, and the study hypotheses are tested using PLS path modeling and SPSS PROCESS Macro.FindingsThe study shows that increased SBC leads to an increased frequency of SC disruptions with a negative impact on plant performance. The study also finds that the firm’s implementation of SC bridging or buffering strategies effectively moderates this performance impact. However, the study results do not support the hypothesis that industry dynamism moderates the relative effectiveness of SC bridging or buffering strategies in mitigating the negative impact of SC disruptions.Originality/valueThe study adds to the limited empirical research examining the SC disruption risk associated with SBC and the resulting performance impact. It addresses a gap in extant research by evaluating the efficacy of SC bridging and buffering strategies in mitigating this performance impact in dynamic industry environments.
More than survival. The meanings of cash transfers for the poor
Authors: Bertoluzza Giulio , Volturo Stella , Meo Antonella 
Published: July 2024

PurposeThis article challenges the prevailing view that a minimum income for the poor is only relevant to basic needs. It contributes to the discussion on the meanings of money by specifically focusing on the Italian Citizenship Income scheme as a case study.Design/methodology/approachA qualitative research design was developed and implemented in four regions of northern Italy. The analysis is based on 131 in-depth interviews with minimum income recipients.FindingsThe empirical analysis shows that money transfer has various meanings. Four dimensions are identified: functional, relational, protective, and emancipatory. The first two are connected to spending, while the latter two are related to self-identity. Although the four dimensions may overlap and coexist in the daily lives of minimum income beneficiaries, they are distinguished for analytical purposes.Originality/valueThe article presents a comprehensive analysis of the multiple meanings that minimum income can have for beneficiaries; meanings which are often not explicitly addressed in social policy studies. It goes beyond the equally important consideration of material needs by adding other meaningful aspects. This approach makes a different way of looking at cash transfers possible, and it provides elements useful for the design and analysis of minimum income policies.
A comparative analysis of financial and nonfinancial rewards on work motivation and knowledge sharing in a postpandemic era
Authors: Vesal Mahdi , Gohary Ali , Rahmati Mohammad H. 
Published: July 2024

Purpose
This paper aims to examine the impacts of financial and nonfinancial incentives on the development of employee work motivation and knowledge sharing in the postpandemic environment. The paper further investigates the role of transformational leadership as a moderator in enhancing the relationship between work motivation and knowledge sharing.

Design/methodology/approach
Adopting a quantitative approach, the study uses data collected from multiple informants, specifically senior managers, in Nepalese manufacturing and service business-to-business (B2B) firms.

Findings
Contrary to prior research, the results reveal that nonfinancial incentives have a stronger impact on work motivation in the postpandemic era. This enhanced work motivation, in turn, contributes to knowledge sharing, with transformational leadership further strengthening the relationship.

Practical implications
The findings suggest that B2B firms should consider moving toward leveraging nonfinancial incentives to motivate employees to develop knowledge sharing initiatives, especially in challenging circumstances such as those experienced in the postpandemic era. In addition, it is recommended that chief executive officers adopt a transformational leadership style to facilitate effective knowledge sharing within their firms.

Originality/value
In a developing economy and amid the challenges of the global pandemic, there has been limited research exploring the possible effects that financial and nonfinancial incentives could have on work motivation and knowledge sharing. This research bridges this gap by providing a fresh perspective on work motivation and knowledge management in B2B firms, contributing novel insights to the literature.
Combined effects of corrosion and fire on load-carrying response of hot-rolled steel reinforcement
Authors: Tariq Faraz 
Published: July 2024

PurposeAlthough separate studies on the influence of corrosion and fire exposure on the constitutive relationship of concrete and steel have been done, there is still a gap in knowledge on the influence of corrosion-temperature superimposition as nonlinear phenomenon. The current study is focused to investigate the response of hot-rolled steel bars subjected to corrosion-temperature superimposition.Design/methodology/approachUsing the accelerated corrosion-impressed-current technique, hot-rolled specimens with different levels of corrosion were obtained. The hot-rolled rebars were first corroded to target levels such as (6, 12, 18, 24, 30 and 36%) and subsequently subjected to target temperatures (250 °C, 400 °C, 550 °C, 800 °C and 950 °C), before tensile tests were carried out to evaluate the residual mechanical response.FindingsThe outcomes showed a significant decline in the parameters governing the mechanical properties of steel reinforcement due to the combined damage due to corrosion and fire. Corroded reinforcement still showed ductile failure after exposure to fire. Moreover, the combined loss of load-bearing characteristics due to corrosion and fire has little influence on the modulus of elasticity. The outcomes of this investigation provide a theoretical database for the assessment of aged structural elements exposed to combination after exposure to fire.Originality/valueThe information concerning structural material's response to corrosion-temperature combined damage is still limited. The cover of the reinforcement is designed to safeguard the reinforcing bars from foreign agencies but is often damaged and spalled off due to corrosion, rendering the reinforcing bars directly exposed. The study aims at the experimental production of fire conditions in a corrosion-damaged infrastructure to cover the aforementioned research gap. The effects of corrosion being superimposed by exposure to elevated temperatures on key parameters affecting mechanical behavior were examined.HighlightsInfluence of corrosion-temperature superimposition on the mechanical properties of hot-rolled rebars.Influence of corrosion-temperature superimposition on the macro and microstructure properties of hot-rolled rebars.Influence of corrosion-temperature superimposition on stress-strain curves of hot-rolled rebars.Influence of corrosion-temperature superimposition on tensile strength, modulus of elasticity and elongation of hot-rolled rebars.
Can regulated technological FOMO be used to enhance technology adoption at the bottom of the pyramid?
Authors: Joshi Rohit 
Published: July 2024

PurposeThis study aims to focus on exploring the role of fear of missing out (FOMO) in the technology adoption context, whereby the bottom-of-the-pyramid (BOP) segment was studied to explore the factors responsible for the development of behavioural intentions (BI) to use unified payments interface (UPI), a disruptive technological phenomenon in the mobile payment systems field.Design/methodology/approachA mixed-method research approach involving both qualitative and quantitative methods was used. Initially, qualitative data obtained through interviews with UPI’s BOP users were subjected to thematic analysis, leading to the identification of eight factors and the construction of a conceptual model. Subsequently, 354 responses were gathered, and empirical analysis was conducted using structural equation modelling in AMOS 23.0.FindingsEight factors, including personal and social benefits, perceived security risk, socio-cultural influences, governmental influence, usability, psychological inertia, perceived value (PV) and FOMO, were discovered. The quantitative examination confirmed the validity of the conceptual model in the BOP context, explaining 51% of the variance in BI. FOMO and PV emerged as robust indicators of UPI adoption, with PV significantly regulating the impact of FOMO.Originality/valueTo the best of the author’s knowledge, this study is one of the first to explore what drives BOP users in an emerging economy to adopt UPI. The conceptual model it presents contributes to the advancement of technology adoption literature by incorporating FOMO alongside newly identified BOP-specific factors.
Health and social care leaders’ and employees’ perceptions of remote leadership and the associated factors
Authors: Terkamo-Moisio Anja , Paronen Elsa , Häggman-Laitila Arja , Lammintakanen Johanna 
Published: July 2024

Purpose
The purpose of this study was to describe health and social care leaders’ and employees’ perceptions of remote leadership and the associated factors.

Design/methodology/approach
A total of 45 leaders and 177 employees from one Finnish health and social care organization completed an electronic questionnaire between October and November 2020. The questionnaire included questions related to background information, along with structured and open-ended questions addressing remote leadership and the associated factors. The collected quantitative data was analyzed with statistical methods, while inductive content analysis was used to analyze the qualitative data.

Findings
Remote leadership emerged as a developing form of leadership that was part of everyday life at a regional health and social care organization. However, it was also considered by some as a distanced and authoritarian form of leadership that reduced communication to a one-way flow of information. Remote leadership and digitalization in health and social care were generally perceived positively, especially among higher educated participants and those working mainly in a remote context. However, digitalization was also perceived as a burden and remote leadership as a source of uncertainty at work, especially among lower educated participants and those who worked mainly in traditional contexts.

Originality/value
This study expands the little-researched area and provides insights that can be used to further develop remote leadership and the related education.
Unlocking the relationship between board of directors’ attributes and international diversification in Indian firms
Authors: Bhatia Aparna , Khurana Meenu 
Published: July 2024

Purpose
The study aims to investigate the relationship between certain key attributes of the board of directors as their international experience, tenure, age, independence and size and internationalization strategies of firms in an emerging economy.

Design/methodology/approach
The study uses random effects panel Tobit regression on a data set of 418 Indian companies spanning over a time frame of nine years from fiscal year (F.Y.) 2009–2010 to F.Y. 2017–2018.

Findings
Board members substantially associate with internationalization choices of emerging economy firms. Specifically, board members with extensive international experience, shorter tenure, higher age, greater independence and larger board size are associated with high level of internationalization in these firms.

Research limitations/implications
The study advocates that Indian companies should focus on recruiting board members with international experience, periodically refreshing their boards, valuing wisdom and experience, adhering to regulatory requirements of independent directors and increase the number of board members to expand internationally. By following this, Indian companies can successfully expand into international markets.

Originality/value
The study’s originality lies in its focus on the role of board members in the internationalization strategy of emerging economy firms, which remains an under-researched area.
Stepping into safety: a systematic review of extended reality technology applications in enhancing vulnerable road user safety
Authors: Sudhakaran Gargy , Prabhakaran Abhinesh , Booth Colin , Abbey Samuel , Mahamadu Abdul-Majeed , Georgakis Panagiotis , Pohle Maria 
Published: July 2024

PurposeIn alignment with the European Union’s Vision Zero initiative to eliminate road fatalities by 2050, leveraging technological advancements becomes crucial for addressing the challenges of vulnerable road users (VRUs), and for mitigating the impact of human error. Despite increasing scholarly interest in applications of extended reality (XR), a research gap persists, particularly in the role of XR in transportation safety. Therefore, the aim of the study was to fill this gap through a systematic literature review to evaluate comprehensively the potential scope and practical applicability of XR technologies in enhancing the safety of VRUs.Design/methodology/approachA systematic review was undertaken, following PRISMA guidelines meticulously, in which 80 relevant articles from databases, such as Scopus and Science Direct, were identified and analysed.FindingsThe results of the analysis revealed the potential of XR beyond pedestrians and cyclists, and highlighted a lack of research about the impact of XR with regard to the personal traits or abilities of VRUs. The results of a thorough analysis confirmed the potential of XR as a promising solution for an approach to collaborative co-creation in addressing the safety challenges of VRUs. In addition, the integration of eye-tracking with virtual reality emerged as a promising innovation for enhancing the safety of vulnerable road users.Research limitations/implicationsTheoretical implications include enhancing the understanding of applications of XR in VRUs’ safety and providing insights into future research possibilities and methodological approaches. Valuable insights into search strategies and inclusion-exclusion criteria can guide future research methodologies.Practical implicationsPractically, the findings from the study offer insights to assist urban planners and transportation authorities in incorporating XR technologies effectively for VRUs safety. Identifying areas for further development of XR technology could inspire innovation and investment in solutions designed to meet the safety needs of VRUs, such as enhanced visualisation tools and immersive training simulations.Originality/valueThe findings of previous research underscore the vast potential of XR technologies within the built environment, yet their utilisation remains limited in the urban transport sector. The intricacies of urban traffic scenarios pose significant challenges for VRUs, making participation in mobility studies hazardous. Hence, it is crucial to explore the scope of emerging technologies in addressing VRUs issues as a pre-requisite for establishing comprehensive safety measures.
An impetus for the research paradigm of determinants of purchase intention of organic food consumers: empirical insight from India
Authors: Garg Shubham , Narwal Karam Pal , Kumar Sanjeev 
Published: July 2024

Purpose
In the recent few decades, there has been a rampant increase in the demand of sustainable food products around the world because of high cognizance of consumers toward environment and health. Asian countries, especially India and China, are also expecting a tremendous boost in the domestic demand for organic food products in the upcoming few years. Therefore, it becomes pertinent to explore the factors affecting the purchase intention behavior of organic food items, especially in emerging economies, i.e. India. Hence, the paper aims to explore the factors driving the purchase decision of organic consumers by collecting data set from 603 organic food item consumers in India.

Design/methodology/approach
The study has applied advanced statistical tools, i.e. structural equation modeling, Harman’s single factor test and other statistical measures, to analyze the collected research data.

Findings
The results posit that consumers’ purchase intention has a favorable impact on health aspects; trustworthiness; social innovativeness; functional value; subjective norms and organic product knowledge. Moreover, the result explicates that health consciousness and trustworthiness are vital predictors of organic food purchase intention.

Practical implications
The findings may assist the producers, processors, marketers, policymakers and regulators in devising appropriate policies and strategies for comprehending the complex phenomenon of organic consumers’ purchase behavior.

Originality/value
To the best of the authors’ knowledge, this is the first study to explore the drivers of purchase intention of organic food items by collecting data from well-defined consumers of organic food items in India.