bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-order relaxation methods for nonequilibrium two-phase flow equations
Authors: Harbate Fatima , Izem Nouh , Seaid Mohammed , Zeidan Dia 
Published: December 2023

Purpose
The purpose of this paper is to investigate the two-phase flow problems involving gas–liquid mixture.

Design/methodology/approach
The governed equations consist of a range of conservation laws modeling a classification of two-phase flow phenomena subjected to a velocity nonequilibrium for the gas–liquid mixture. Effects of the relative velocity are accounted for in the present model by a kinetic constitutive relation coupled to a collection of specific equations governing mass and volume fractions for the gas phase. Unlike many two-phase models, the considered system is fully hyperbolic and fully conservative. The suggested relaxation approach switches a nonlinear hyperbolic system into a semilinear model that includes a source relaxation term and characteristic linear properties. Notably, this model can be solved numerically without the use of Riemann solvers or linear iterations. For accurate time integration, a high-resolution spatial reconstruction and a Runge–Kutta scheme with decreasing total variation are used to discretize the relaxation system.

Findings
The method is used in addressing various nonequilibrium two-phase flow problems, accompanied by a comparative study of different reconstructions. The numerical results demonstrate the suggested relaxation method’s high-resolution capabilities, affirming its proficiency in delivering accurate simulations for flow regimes characterized by strong shocks.

Originality/value
While relaxation methods exhibit notable performance and competitive features, as far as we are aware, there has been no endeavor to address nonequilibrium two-phase flow problems using these methods.
Customer loyalty in the banking sector: a meta-analytic study
Authors: Buhler Rafaela Nascimento , De Oliveira Santini Fernando , Junior Ladeira Wagner , Rasul Tareq , Perin Marcelo Gattermann , Kumar Satish 
Published: December 2023

PurposeThis study aims to synthesize and integrate findings from diverse research on the antecedents and moderators of customer loyalty in the banking sector. Through a comprehensive meta-analysis, the research seeks to understand the primary drivers of bank loyalty and the potential cultural, economic and social indicators that might influence these relationships.Design/methodology/approachA rigorous meta-analysis was conducted, analyzing 275 studies with 1,365 effect sizes involving over 134,000 bank customers from more than 50 countries. The research evaluated the effect sizes of the main relationships between loyalty antecedents and consequences and assessed the influence of cultural, economic and social moderators.FindingsThe study identified key antecedents of bank loyalty, with responsiveness, privacy, commitment, trust and empathy being paramount. Cultural dimensions, such as individualism and masculinity, significantly moderate the relationships between trust and loyalty. The human development index (HDI) was also identified as a significant economic moderator, particularly influencing the relationship between satisfaction and bank loyalty.Originality/valueThis research offers a holistic view of bank loyalty, bridging gaps from conflicting findings in prior literature. Examining a vast array of studies across diverse cultural and economic contexts provides empirical generalizations about bank loyalty behavior, offering valuable insights for academia and the banking industry.
Utilising a hybrid DMAIC/TAM model to optimise annual maintenance shutdown performance in the dairy industry: a case study
Authors: Trubetskaya Anna , Ryan Alan , Powell Daryl John , Moore Connor 
Published: December 2023

Purpose
Output from the Irish Dairy Industry has grown rapidly since the abolition of quotas in 2015, with processors investing heavily in capacity expansion to deal with the extra milk volumes. Further capacity gains may be achieved by extending the processing season into the winter, a key enabler for which being the reduction of duration of the winter maintenance overhaul period. This paper aims to investigate if Lean Six Sigma tools and techniques can be used to enhance operational maintenance performance, thereby releasing additional processing capacity.

Design/methodology/approach
Combining the Six-Sigma Define, Measure, Analyse, Improve, Control (DMAIC) methodology and the structured approach of Turnaround Maintenance (TAM) widely used in process industries creates a novel hybrid model that promises substantial improvement in maintenance overhaul execution. This paper presents a case study applying the DMAIC/TAM model to Ireland’s largest dairy processing site to optimise the annual maintenance shutdown. The objective was to deliver a 30% reduction in the duration of the overhaul, enabling an extension of the processing season.

Findings
Application of the DMAIC/TAM hybrid resulted in process enhancements, employee engagement and a clear roadmap for the operations team. Project goals were delivered, and original objectives exceeded, resulting in €8.9m additional value to the business and a reduction of 36% in the duration of the overhaul.

Practical implications
The results demonstrate that the model provides a structure that promotes systematic working and a continuous improvement focus that can have substantial benefits for wider industry. Opportunities for further model refinement were identified and will enhance performance in subsequent overhauls.

Originality/value
To the best of the authors’ knowledge, this is the first time that the structure and tools of DMAIC and TAM have been combined into a hybrid methodology and applied in an Irish industrial setting.
Dependence as strategy: extending resource dependence theory and clarifying its understanding of the strategic options of dependent firms
Authors: Coşkun Recai , Öztürk Oğuzhan 
Published: December 2023

Purpose
This study aims to critically evaluate resource dependence theory’s (RDT) assumptions and explanations about dependence and the dependent firm’s strategic options. The authors argue that RDT’s perception of dependence is problematic because it evaluates dependence as a purely negative situation in which all firms, by definition, seek to develop strategies to change the power structure of such relationships. On the contrary, the authors argue that there are situations in which dependent firms are in agreement with dependence and, therefore, develop strategies that do not aim to change the balance of power in the relationship, but rather to strengthen their position within the relationship.

Design/methodology/approach
The research is designed as a theoretical discussion. The authors critically evaluate and discuss current understanding and assumptions about RDT’s dependence explanations. Drawing on insights from the strategic management literature, the authors offer a new perspective on the problematic areas in the dependence explanations of the RDT.

Findings
Drawing on insights from the strategic management literature, the authors argue that dependent firms enjoy certain advantages due to the dependence relationship to gain sustainable competitive advantages over their rivals and potential competitors. These advantages include factors such as increasing growth potential, developing capabilities and competencies, building relationships of trust with powerful firms and leveraging their reputations and references that contribute to the sustainable strategic advantages of dependent firms. The authors believe that this study has the potential to spur new research that further challenges the assumptions of the RDT and empirically tests its propositions.

Originality/value
The authors propose a research framework on dependence as a strategic option that has the possibility of expanding RDT’s current dependence explanation.
Drivers of MSME loan defaults using survival analysis: implications for lenders and policy planners
Authors: Saha Asish , Hock-Eam Lim , Yeok Siew Goh 
Published: December 2023

PurposeThe authors analyse the determinants of loan defaults in micro, small and medium enterprises (MSME) loans in India from the survival duration perspective to draw inferences that have implications for lenders and policymakers.Design/methodology/approachThe authors use the Kaplan–Meier survivor function and the Cox Proportional Hazard model to analyse 4.29 lakhs MSME loan account data originated by a large bank having a national presence from 1st January 2016 to 31st December 2020.FindingsThe estimated Kaplan–Meier survival function by various categories of loan and socio-demographic characteristics reflects heterogeneity and identifies the trigger points for actions. The authors identify the key identified default drivers. The authors find that the subsidy amount is more effective at the lower level and its effectiveness diminishes significantly beyond an optimum level. The simulated values show that the effects of rising interest rates on survival rates vary across industries and types of loans.Practical implicationsThe identified points of inflection in the default dynamics would help banks to initiate actions to prevent loan defaults. The default drivers identified would foster more nuanced lending decisions. The study estimation of the survival rate based on the simulated values of interest rate and subsidy provides insight for policymakers.Originality/valueThis study is the first to investigate default drivers in MSME loans in India using micro-data. The study findings will act as signposts for the planners to guide the direction of the interest rate to be charged by banks in MSME loans, interest subvention and tailoring subsidy levels to foster sustainable growth.
Organizational learning, strategic guanxi networking, co-creation marketing strategy and B2B export performance: evidence from emerging market export venture
Authors: Sima Herbert , Chung Henry F.L. , Liu Yulong 
Published: December 2023

Purpose
Drawing on the organizational learning and relational governance literature, this study aims to advance a theoretical model to explain the export performance of emerging market export ventures.

Design/methodology/approach
This study selects quantitative methodology because the main objective of this study is to explore the role of export ventures’ performance (past) on guanxi networking, co-creation marketing strategies and present performance.

Findings
The empirical evidence suggests that guanxi networking and co-creation strategy can mediate the relationship between export venture performance in the preceding year and export venture performance in the following year. In addition, this study also provides some guidance for emerging market export ventures on how to build a strong guanxi networking and create opportunities for collaboration when the effect of export performance in the preceding year on current performance is absent.

Originality/value
The authors propose the inclusion of strategic guanxi networking-related factors (e.g. top executives’ ties with business-to-business customers, such as distributors in the host market) in the prior performance-current performance paradigm. The outcomes of this study also contribute to extant organizational learning theory research by integrating preceding performance research with the co-creation theory. The study offers new insights into organizational learning and relational governance from the emerging market perspective.
Financial leverage, percentage of female borrowers and financial sustainability of microfinance institutions
Authors: Githaiga Peter Nderitu , Bitok Stephen Kosgei 
Published: December 2023

PurposeThis paper examines the influence of financial leverage on the financial sustainability of microfinance institutions (MFIs) and the moderating role of the percentage of female borrowers (PFB).Design/methodology/approachThe study uses a global sample of 646 MFIs drawn from the World Bank Mix Market and panel data for 2010–2018. The study employs ordinary least squares (OLS) and the one-step system generalized method of moments (SGMM) as regression estimation methods.FindingsThe findings of this study reveal that financial leverage and the PFB have a negative and significant effect on financial sustainability. The findings further show that the interaction between financial leverage and the PFB positively affects the financial sustainability of MFIs.Practical implicationsThe findings inform MFIs' managers on the adverse effect of financial leverage and the PFB in their quest for financial sustainability. The findings also demonstrate that MFIs can leverage female borrowers to reverse the adverse effect of financial leverage on financial sustainability of MFIs.Originality/valuePrevious studies examined the direct effect of financial leverage and reported incongruent results. Because female borrowers are at the epicenter of MFI lending, this study fills the gap in the literature by examining whether the proportion of female borrowers moderates the relationship between financial leverage and MFIs' financial sustainability using a global dataset.
Achieving manufacturing supply chain resilience: the role of paradoxical leadership and big data analytics capability
Authors: Xu Ting , Liu Xinyu 
Published: December 2023

PurposeDespite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.Design/methodology/approachBy conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.FindingsThe findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.Research limitations/implicationsThese findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.Practical implicationsThe results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.Originality/valueThis is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.
Modelling the traits of consumer resilience: implications to emerging markets
Authors: Rajesh R. 
Published: December 2023

PurposeThe author identifies the traits of consumer resilience in emerging markets, classifies these major traits into five categories and analyses the influence relationships among them with distinctive focus on the psychological and personal resilience aspects.Design/methodology/approachThe influence relations among the traits of consumer resilience from an expert perspective were identified with typical focus on electronic supply chains, and later the same was analysed through an intelligent influence modelling method, the grey causal modelling (GCM).FindingsThe major traits were analysed using the GCM, where the cause–consequence relations were observed for various objectives and the situational effects are noted. By constructing a magnitude plot and further a causal magnitude table, the important influence traits of consumer resilience for the considered case were observed and the same were auxiliary validated using an interpretive structural modelling (ISM) based approach.Research limitations/implicationsAs perceived from the results, it is evident that social support and recommendations from customers emerge as the principal influence traits of consumer resilience from an expert perspective, considering the case. The study can be further extended empirically to validate the findings.Practical implicationsAltogether, the author can recommend for practitioners that the influence of family, society, friends, peers as well as ratings from the customers can determine the level of consumer resilience. Hence, practitioners of customer relationship management can focus on improving the product and brand awareness among customers, so that more customers may recommend for typical products.Originality/valueConsumer resilience depend on several factors, where the author has identified 25 major traits of the same and classified them into five major categories, including individual psychological factors, individual attitudes, individual socio demographic factors, micro environmental factors and macro environmental factors and the influence relations among them were studied from an expert perspective.
A bibliometric and systematic review analysis of adopting decision intelligence analytics for rational decision-making
Authors: Annu Annu , Tripathi Ravindra 
Published: December 2023

Purpose
This paper aims to study and discover the unsearched area in behavioral finance in the new era of technology enhancement. The study has been done with two significant methodologies of reviews. This study also covers the whole structure of the investment decision scenario.

Design/methodology/approach
A systematic and bibliometric analysis has been done to make this study conceptual. Data collection sources are highly indexed journals, Scopus, Web of Science and Google Scholar. The “R” package has been used to do bibliometric analysis. Start with data cleaning and import the data in biblioshiny to get and interpret the result. A total of 642 data has been finalized from 1973 to 2022.

Findings
Various noticeable results have been found to accomplish the objectives and fill the gap in the study. There is a need to research both technological and psychological factors to determine the relation of these two variables with the investment decision-making of investors.

Originality/value
This study has done a systematic literature review and a bibliometric analysis that shows the importance of technology enhancement for further research, which has been searchable throughout this study.
Taking on the world: the internationalisation of City Football Group
Authors: Richardson Christopher 
Published: December 2023

Purpose
Football is at once both a global sport and one that is defined by fiercely guarded local boundaries. For a firm operating within this highly lucrative industry and with ambitions of establishing a strong international presence for itself, a balance must be struck between riding on the game’s global appeal on the one hand and the need to somehow embed itself within particular local spaces on the other. This study aims to analyse how one such firm, the holding company City Football Group (CFG), is going about achieving this.

Design/methodology/approach
This is a conceptual paper that adopts a broadly inductive approach, building on an extensive analysis of both theoretical research and publicly available secondary data to develop a framework depicting three key strategies associated with CFG’s internationalisation.

Findings
Three factors are identified as being especially pertinent in CFG’s international expansion: the composition of CFG’s top management team; the attempts to establish a unifying “City identity”; and CFG’s forays into more peripheral leagues around the world after having established itself at the “top end” of the game.

Practical implications
The framework presented in this paper is particularly oriented towards a practitioner audience. Managers of firms operating in football, as well as in other industries in which the pressure to be both globally integrated and locally responsive is particularly acute, can draw lessons from both the framework and the broader insights presented here on CFG’s global expansion.

Social implications
Football is widely regarded as the world’s most popular sport, and fans often take matters very seriously when it comes to the club they support. How football clubs are run is, therefore, a matter of considerable societal interest, as demonstrated by various fan protests over the years. As global, multi-club ownership structures like that adopted by CFG become more commonplace, this study will provide football fans with some insight into the strategies of these companies and how their own clubs fit within these ownership models.

Originality/value
This study addresses an under-researched topic: the international expansion of a prominent football holding company.
Strategic measurement and evaluation of municipal social media: insight from front-line personnel in the United States
Authors: Stone Jeffrey A. , Flanders Kimberly J. , Robles Pedro , Can Salih Hakan 
Published: December 2023

PurposeThis study aims to investigate how a sample of US municipalities use social media for strategic communication, focusing on efforts to effectively measure and evaluate that communication. Research questions focus on measurement and evaluation practices, as well as the motivations and impacts associated with these practices.Design/methodology/approachThis research uses a qualitative approach. Interviews were conducted with 12 municipal government personnel responsible for social media communication. The self-selected participants represent 10 states and all US Census regions. Data was content analyzed and categorized according to four research questions, with emergent themes described.FindingsThe results show a diverse set of approaches and motivations, with surface-level measurement and evaluation methods. Initial efforts at moread hocuse of social media are moving toward more deliberate strategies, but limited resources inhibit progress for some municipalities.Originality/valueFew studies exist which explore how US municipalities formally measure and evaluate their social media activities as part of their overall strategic communication efforts. This study adds to the existing literature by providing insight into the measurement and evaluation practices that municipalities use to assess their social media communication. The study also provides a basis for larger and deeper investigations of municipal strategic communication practices related to measurement and evaluation.
Knowledge capitalization and perceived fairness of reward in real estate sector: mediating role of shared leadership
Authors: Kumari Arpana , Aggarwal Prachi 
Published: December 2023

Purpose
The COVID-19 pandemic brought uncertain working patterns in a volatile, uncertain, complex and ambiguous world wherein unleashing power of knowledge became prototypical for real-time decision-making capacity of organizational workforce. Drawing from Vroom’s expectancy theory, this study aims to investigate whether shared leadership (SL) mediates the impact of perceived fairness of rewards (PFR) on knowledge capitalization (KC).

Design/methodology/approach
A survey of 484 employees in the Indian real estate industry was completed in two phases. Confirmatory factor analysis and structured equation model were applied for analysis and hypothesis testing.

Findings
PFR positively affected employee’s KC in Indian real estate industry. Also, SL partially mediated the effect of PFR on KC.

Practical implications
This study indicates the positive impact of PFR on employees’ KC and demonstrates position of SL for boosting its occurrence in organizations.

Originality/value
To the best of the authors’ knowledge, this paper is the first to investigate the mediating role of SL between relationship of PFR and KC of employees.