bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maximum Entropy Principle in Deep Thermalization and in Hilbert-Space Ergodicity
Authors: Mark Daniel K. , Surace Federica , Elben Andreas , Shaw Adam L. , Choi Joonhee , Refael Gil , Endres Manuel , Choi Soonwon 
Published: November 2024

We report universal statistical properties displayed by ensembles of pure states that naturally emerge in quantum many-body systems. Specifically, two classes of state ensembles are considered: those formed by (i) the temporal trajectory of a quantum state under unitary evolution or (ii) the quantum states of small subsystems obtained by partial, local projective measurements performed on their complements. These cases, respectively, exemplify the phenomena of “Hilbert-space ergodicity” and “deep thermalization.” In both cases, the resultant ensembles are defined by a simple principle: The distributions of pure states have maximum entropy, subject to constraints such as energy conservation, and effective constraints imposed by thermalization. We present and numerically verify quantifiable signatures of this principle by deriving explicit formulas for all statistical moments of the ensembles, proving the necessary and sufficient conditions for such universality under widely accepted assumptions, and describing their measurable consequences in experiments. We further discuss information-theoretic implications of the universality: Our ensembles have maximal information content while being maximally difficult to interrogate, establishing that generic quantum state ensembles that occur in nature hide (scramble) information as strongly as possible. Our results generalize the notions of Hilbert-space ergodicity to time-independent Hamiltonian dynamics and deep thermalization from infinite to finite effective temperature. Our work presents new perspectives to characterize and understand universal behaviors of quantum dynamics using statistical and information-theoretic tools.

Published by the American Physical Society
2024
Towards systemic transformation in the construction industry: a complex adaptive systems perspective
Authors: Uusitalo Petri , Peltokorpi Antti , Seppänen Olli , Alhava Otto 
Published: November 2024

Purpose
This study aims to investigate the strategies that successful companies in the construction industry use to achieve systemic transformation within their value chains and broader ecosystems. This study focuses on understanding how these companies navigate the challenges of a mature and slow-changing industry through innovative approaches.

Design/methodology/approach
A multiple case study design is used to analyze the systemic innovation dynamics across construction subsystems, through the lens of Complex Adaptive Systems theory. This research involves an empirical examination of nine case companies, selected based on their innovations in at least two construction subsystem areas and markers of success such as growth, profitability or invested capital. This methodology facilitates a detailed understanding of the company-level transformation.

Findings
This study identifies four distinct development paths toward systemic transformation within the construction industry: product-driven, product platform-driven, process integration-driven and business model-driven. These paths are characterized by unique strategies integrating technology, optimizing processes and innovating business models, demonstrating how companies can effectively adapt to and evolve within the construction ecosystem.

Originality/value
This research contributes original insights into company strategies and how they achieve systemic transformation. This study expands existing knowledge on systemic transformation in the construction industry by integrating empirical evidence with theoretical frameworks, offering a novel perspective on how successful companies innovate within a traditionally slow-changing sector.
Effect of transformational leadership on employees’ shared goals during merger and acquisition: moderating roles of organizational support and participative decision-making
Authors: Soontornchaiya Piyada , Charoensukmongkol Peerayuth 
Published: November 2024

PurposeDespite the benefits that firms obtain from merger and acquisition (M&A), this strategy frequently poses a significant challenge for management in encouraging employees of the acquired firm to develop shared goals with the new organization. This research analyzes the effect of transformational leadership by department managers in the acquiring firm on the degree to which employees in the acquired firm develop shared goals. We also examine whether the effect of transformational leadership on shared goals could be moderated by organizational support and employee participation in decision-making.Design/methodology/approachThis research was conducted using the case of a firm in the power and energy sector that was undergoing M&A. Survey data were obtained from 203 employees and their department managers to avoid common method bias. The data were analyzed using partial least squares structural equation modeling.FindingsWe found that employees in the acquired firm who worked for the department managers of the acquiring firms who demonstrated transformational leadership were more likely to adopt shared goals than those who did not. Moreover, the moderating effect analysis shows that transformational leadership had a greater effect on shared goals when employees perceived that they received a high level of organizational support. On the contrary, transformational leadership had a weaker effect on shared goals when employees actively participated in decision-making.Practical implicationsTransformational leadership is the leadership practice that the management of the acquiring firm needs to apply to employees, who are a critical part of the firm’s human capital, when they manage the M&A activities. The management also needs to demonstrate to the employees that the acquiring firm cares about the employees’ well-being and has sincere concern for them throughout and after the M&A process. Despite the transformational leadership practice’s essential role, participative decision-making is another management practice that should be implemented to reduce employees’ reliance on the management’s transformational leadership to persuade them to adopt shared goals, which might be essential when the transformational leadership practice cannot be effectively implemented.Originality/valueOur results regarding the moderating effects of perceived organizational support and participative decision-making add some new knowledge to the theory by showing that the management’s implementation of transformational leadership during M&A will need to consider other management practices that may either intensify or weaken the benefit that employees may gain from the management’s transformational leadership.
Influence of organizational digital transformation competencies on individual job performance: the mediating effects of organizational supportive learning environment and individual readiness for change
Authors: Kim Jisoo , Park Yoonhee 
Published: November 2024

Purpose
This study aimed to analyze the mediating effects of organizational supportive learning environment and individual readiness for change in the relationship between organizational digital transformation competencies and individual job performance among employees of large domestic companies in South Korea.

Design/methodology/approach
The authors surveyed employees of large domestic companies in South Korea and collected 260 questionnaires. The authors excluded eight responses that did not meet the research objectives and analyzed the remaining 252 responses using a structural equation modeling including measurement model analysis and structural model analysis using SPSS 29.0 and AMOS 26.0.

Findings
The authors found a statistically significant relationship between organizational size and organizational digital transformation competencies. Moreover, organizational digital transformation competencies positively influence individual job performance, and the dual mediating effects of organizational supportive learning environment and individual readiness for change are significant.

Originality/value
Since there is little empirical research validating the importance of digital transformation competencies in organizational settings related to job performance, this study holds academic significance in that it empirically validates the relationship between organizational digital transformation competencies and individual job performance and confirms the mediating effects of organizational supportive learning environment and individual readiness for change from both organizational and individual perspectives.
Rent control and potential underutilization of housing resources
Authors: Gunnelin Åke , Hungria-Gunnelin Rosane , Hullgren Maria , Söderberg Bo 
Published: November 2024

Purpose
Rent control may lead to inefficient use of subsidized apartments. This paper aims to empirically investigate if this phenomenon exists under the Swedish rent control regime.

Design/methodology/approach
The quantitative part of the study uses data from Statistics Sweden to calculate, for all municipalities in Sweden, the fraction of residential rental units where no one is living permanently. The qualitative part augments the quantitative results with a survey where representatives for 14 municipal and four private property companies in small, mid-sized and large municipalities were interviewed.

Findings
This paper finds that a surprisingly large fraction of the rental housing stock, about 9.4% on a national level, is underused in the way that rent is paid but no one is living permanently in the apartment according to the official Swedish population register. The underutilization rate is negatively correlated to the median rent in a municipality.

Research limitations/implications
The study is limited to Swedish data. This paper does not explore the potential effects of regional economic and demographic conditions on the measure of underutilization.

Practical implications
A policy implication of the present results is that underutilization of the Swedish rental housing stock can be reduced by limiting the supply of rent-controlled housing to households that are in economic or social need.

Originality/value
Numerous papers have analysed various aspects of rent control. However, few papers have empirically analysed how a general rent control system where all tenants, irrespective of economic or social need, have access to rent controlled apartments may contribute to housing inefficiencies. This research contributes to the empirical literature on rent control by analysing the relationship between non-targeted housing subsidies and underutilization of housing units.
A hybrid linear Diophantine fuzzy group decision approach for enterprise digital transformation maturity evaluation
Authors: Ren Yuqi , Gao Kai , Liu Tingting , Rong Yuan , Mishra Raj Arunodaya 
Published: November 2024

PurposeThe main goal of this paper is to present a synthetic multiple criteria group decision-making (MCGDM) methodology for assessing the enterprise digital maturity with linear Diophantine fuzzy (LDF) setting.Design/methodology/approachThis paper utilizes the presented LDF generalized Dombi operator to aggregate assessment information of experts. The developed combined weight model through merging the rank sum (RS) model and symmetry point of criterion (SPC) method is used to ascertain the comprehensive importance of criterion. The evaluation based on distance from average solution (EDAS) approach based upon regret theory (RT) is presented to achieve the sorting of candidate enterprises.FindingsFirstly, the proposed method has strong stability. Secondly, the proposed method takes into consideration the psychological behavior of experts during the decision-making process which further enhances the rationality of the decision results. Finally, the proposed method integrates expert and criterion weight determination models which provides a practical evaluation framework for assessing the digital maturity of enterprises. The research outcomes confirm that the proposed approach fails to resolve the decision problems with unknown weight information flexibly, but also reflect the psychological behavior of expert in decision process. The presented weight approach also provides a rational algorithm to ascertain the weight more accurate.Originality/valueA composite LDF group decision-making approach is presented by aggregating the proposed generalized Dombi operator, combined weight model and the EDAS model, which make the outcome more reasonable. Sensitivity analysis and comparison study are conducted to reflect the superiority of the proposed approach.
Effects of sectoral and aggregate uncertainty on corporate debt structure
Authors: Sawarn Ujjawal , Dash Pradyumna 
Published: November 2024

PurposeThis paper investigates the differential and interactive effects of sectoral and aggregate uncertainty on the corporate debt structure of credit-constrained and credit-unconstrained firms in India.Design/methodology/approachThe panel fixed-effect model was used to examine the effect of sectoral and aggregate uncertainty on corporate debt structure using annual data of 2,405 firms from 1997 to 2020.FindingsAn increase in sectoral and aggregate uncertainty leads to a greater increase in total and short-term debt and a decrease in long-term debt for credit-constrained firms than in unconstrained ones. However, sectoral uncertainty affects firms’ debt maturity structure more than aggregate uncertainty. Credit-constrained firms use short-term debt to finance capital expenditure during periods of high sectoral uncertainty and working capital requirements during periods of high aggregate uncertainty. When both sectoral and aggregate uncertainty are high, credit-constrained firms decrease total and short-term debt usage more than credit-unconstrained firms do. Our results are robust to a variety of tests, such as different measures of uncertainty, the use of instrument variables and controlling for economic conditions and financial crises.Originality/valueThis study addresses the differential and interactive effects of sectoral and aggregate uncertainty on corporate debt structure.
Micro-municipal administration: a review and network-based framework
Authors: Cristofaro Matteo , Cucari Nicola , Zannoni Anastassia , Laviola Francesco , Monda Antonella , Liberato Lo Conte Davide , Schilleci Pinalba , Girma Haylemariam Leul , Mare Simona Margareta 
Published: November 2024

PurposeMicro-municipalities are a widespread form of local government worldwide. However, research into micro-municipalities is often fragmented across various disciplines (e.g. public management, urban studies, etc.), limiting our understanding of the diverse influences impacting micro-municipal administration. Here, we review the literature on micro-municipalities and investigate the network relationships affecting their administration.Design/methodology/approachWe performed a systematic literature review on micro-municipal administration. We adopted a network perspective for analysing the sample articles, which helps identify the multiple nodes that influence micro-municipalities’ administration, the drivers of relationships between the nodes, and the direction and flow of authority between these nodes.FindingsWe propose a network-based framework of micro-municipal administration that incorporates tailored interventions and support from higher government levels, adaptive stakeholder engagement, residents’ active participation, and responsive leadership.Originality/valueThis is the first systematic literature review of micro-municipalities and the first to propose a network-based framework for their effective governance.
Does personality matter? Understanding the impacts of real-self and avatar personality traits on metaverse satisfaction
Authors: Yang Shuiqing , Lin Kang , Wang Xi , Li Yixiao , Chen Yuangao , Wei June 
Published: November 2024

PurposeThe metaverse enables users to create their own avatars in a shared virtual space, giving rise to a new avatar personality that differs from their real-self personality. The aim of this research is to explore how users' real-self and avatar personalities may affect their behavioral engagement and satisfaction in the metaverse context.Design/methodology/approachThis research applies self-discrepancy theory to investigate how the big five traits of both real-self and avatar personalities influence users' engagement and satisfaction in the metaverse. The present research employed a mixed-methods approach, beginning with a qualitative study to identify prevalent personality cues among users on metaverse social media platforms. Subsequently, a quantitative study was conducted to further validate the findings of the qualitative study.FindingsThe results indicated that avatar personality scored higher than the real-self personality in the dimensions of openness, conscientiousness and extraversion, while scored lower in the dimensions of agreeableness and neuroticism. Both real-self and avatar personality traits positively influenced metaverse satisfaction via behavioral engagement in the metaverse. Notably, avatar personality traits had a stronger impact on behavioral engagement compared to real-self personality traits, which further influence metaverse satisfaction.Practical implicationsThe present study offers practical insights for metaverse developers and managers to enhance user satisfaction by focusing on users’ big five traits of both real-self and avatar personality. It suggests implementing personalized tools, organizing personality-based social activities and other initiatives to encourage user’s behavioral engagement and ultimately enhance metaverse satisfaction.Originality/valueUnlike existing research that concentrates on a single facet of personality traits, this research employs a mixed-methods approach to conceptualize users' real-self personality and avatar personality, further exploring their impacts on metaverse satisfaction.
How and when collaborative innovation networks influence new product development performance in SMEs: evidence from China
Authors: Lu Chang , Qi Yong , Hao Shibo , Yu Bo 
Published: November 2024

Purpose
The purpose of this study is to examine the effect of collaborative innovation networks on new product development (NPD) performance in small and medium-sized enterprises (SMEs). It also investigates the mediating role of business model innovation and moderating role of collaboration experience and external information technology (IT) capability in the above relationship.

Design/methodology/approach
To test the research hypotheses about the relationships above, survey data were collected from 209 Chinese manufacturing SMEs. Multiple hierarchical regressions analysis was used to examine the hypotheses.

Findings
Results reveal that collaborative innovation networks have positive impacts on NPD performance in SMEs. Moreover, business model innovation mediates and collaboration experience and external IT capability positively moderate the relationship between collaborative innovation networks and NPD performance in SMEs.

Originality/value
This study paints a more complete picture of the relationship between collaborative innovation networks and NPD performance in SMEs and advances the understanding of how and when SMEs enhance their NPD performance through collaborative innovation networks.
“Vous parlez anglais?” “Pas du tout”: cross-cultural challenges faced by Chinese inpatriates in France
Authors: Huang Mingzhi , Richardson Christopher , Abdul Rahim Noor Fareen 
Published: November 2024

PurposeChina is playing an increasingly prominent role in global business. However, there has been relatively little research on Chinese inpatriates working in Western countries, particularly in non-Anglo cultural contexts. This study attempts to explore the process of cross-cultural adjustment (CCA) and integration into corporate headquarters of Chinese inpatriates working in France, including the favorable factors that accelerate this process.Design/methodology/approachBased on a qualitative, single-case study of Group X, a pseudonym for a French multinational enterprise, the authors drew on semi-structured interviews with 18 Chinese inpatriates and investigated their CCA and integration process at the French headquarters of their employer.FindingsThe CCA and integration process of Chinese inpatriates at the French headquarters includes three stages: honeymoon and/or crisis period, adjustment and/or integration period and mutual growth period. Chinese inpatriates mainly face language barriers and Sino-French cross-cultural challenges. They overcome these challenges by learning the language and culture of the host country and using co-cultural and cross-cultural Guanxi. Experiences vary, with some Chinese inpatriates bypassing the honeymoon and/or crisis stage and entering directly into the adjustment and/or integration stage and some even leapfrogging both initial phases to attain a stage of mutual growth. Favorable factors for this CCA and integration acceleration include experience of living abroad, the host country language proficiency, organizational service support and the English working environment.Originality/valueThe study enhances the theoretical framework of Chinese expatriates’ psychological adjustment process through two key contributions. First, it enriches the three stages by incorporating new aspects, namely the honeymoon facet at the crisis stage, the integration into the headquarters facet at the self-adjust stage and the promoting organizational growth facet at self-growth stage. Second, it adds precision to the horizontal timeline by incorporating two additional initial points for the adjustment and integration process. Until now, Chinese inpatriates and the French context have received little attention, and this research takes a step forward by illuminating the CCA and integration process of Chinese inpatriates in this non-Anglophone country.
Hybrid metaheuristic algorithm methods and econometric models in prediction of dogecoin price
Authors: Shahvaroughi Farahani Milad , Babaei Shiva , Kharazan Zahra Sadat , Bai Ali , Rahmati Zahra , Ghasemi Ghazal , Alipour Fardin , Farrokhi-Asl Hamed 
Published: November 2024

Purpose
This paper aims to predict Dogecoin price by using artificial intelligence (AI) methods and comparing the results with the econometrics models.

Design/methodology/approach
An artificial neural network (ANN) was applied as a prediction method without any optimization techniques. Additionally, the genetic algorithm (GA) is used to select the most appropriate input variables. Additionally, based on the literature review and the relationships between crypto-price and global indices, 20 economic indicators, such as Coinbase Bitcoin, Coinbase Litecoin and US dollars, along with main global stock indices such as FTSE100 and NIFTY50, are identified as input variables for the model. Lichtenberg algorithm (LA) and aquila optimization (AO) algorithm are used to make the ANN more robust. To validate our algorithms, they have been implemented on daily data for the last three years. To demonstrate the superiority of the models over traditional methods such as econometrics, regression analysis and curve fitting techniques are used. The effectiveness of these models is then evaluated and compared using criteria such as recall, accuracy and precision.

Findings
The results indicate that AI-based algorithms not only enhance the accuracy, recall and precision of calculations but also expedite the process without requiring the numerous and restrictive assumptions associated with time series and econometric models.

Originality/value
The main contribution of this paper is the application of novel approaches such as AO and LA to improve the predictive capabilities of the ANN method for various cryptocurrencies’ prices. It demonstrates the superiority of the proposed algorithms over traditional econometric models using real-life data.