bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entrepreneurial culture and disruptive innovation in established firms – how to handle ambidexterity
Authors: Schindler Josef , Kallmuenzer Andreas , Valeri Marco 
Published: November 2023

PurposeThe aim of this paper is to improve the understanding of strategies for how established companies can respond to disruptive innovation, handle increasing complexity, facilitate entrepreneurial culture and processes and successfully manage organizational ambidexterity.Design/methodology/approachA qualitative multiple-case study was conducted to explore successful practices of innovation ambidexterity (IA) and their organizational design, entrepreneurial culture and mindset, processes and leadership. Two internationally established firms that have launched and established IA programs provided deep insight, revealing their strategy and learning on the path toward effective IA.FindingsThe findings show that accepting and managing the inherent complexity increases within an ambidextrous organization strategy is a decisive factor in achieving effective IA. As a result, segmenting small organizational units and granting them extensive autonomy is proposed for managing the complexity of an organization while increasing its effectiveness. Furthermore, it is shown that this helps foster entrepreneurial culture, mindsets and processes as additional mediators for achieving effective IA. Coaching, empowerment and trust were identified as key factors of ambidextrous leadership values that encourage entrepreneurial behavior and decision-making.Originality/valueTo the best of the authors knowledge the first study connecting the research fields of complexity management, organizational ambidexterity theory and entrepreneurial culture while applying the fundamentals of systems theory to propose a practical management framework for successfully responding to disruptive innovation.
Develop an integrated candlestick technical analysis model using meta-heuristic algorithms
Authors: Mahmoodi Armin , Hashemi Leila , Jasemi Milad 
Published: November 2023

PurposeIn this study, the central objective is to foresee stock market signals with the use of a proper structure to achieve the highest accuracy possible. For this purpose, three hybrid models have been developed for the stock markets which are a combination of support vector machine (SVM) with meta-heuristic algorithms of particle swarm optimization (PSO), imperialist competition algorithm (ICA) and genetic algorithm (GA).All the analyses are technical and are based on the Japanese candlestick model.Design/methodology/approachFurther as per the results achieved, the most suitable algorithm is chosen to anticipate sell and buy signals. Moreover, the authors have compared the results of the designed model validations in this study with basic models in three articles conducted in the past years. Therefore, SVM is examined by PSO. It is used as a classification agent to search the problem-solving space precisely and at a faster pace. With regards to the second model, SVM and ICA are tested to stock market timing, in a way that ICA is used as an optimization agent for the SVM parameters. At last, in the third model, SVM and GA are studied, where GA acts as an optimizer and feature selection agent.FindingsAs per the results, it is observed that all new models can predict accurately for only 6 days; however, in comparison with the confusion matrix results, it is observed that the SVM-GA and SVM-ICA models have correctly predicted more sell signals, and the SCM-PSO model has correctly predicted more buy signals. However, SVM-ICA has shown better performance than other models considering executing the implemented models.Research limitations/implicationsIn this study, the data for stock market of the years 2013–2021 were analyzed; the long length of timeframe makes the input data analysis challenging as they must be moderated with respect to the conditions where they have been changed.Originality/valueIn this study, two methods have been developed in a candlestick model; they are raw-based and signal-based approaches in which the hit rate is determined by the percentage of correct evaluations of the stock market for a 16-day period.
Connecting e-customer relationship management and e-loyalty to willingness to recommend a bank service: the sequential mediating roles of e-satisfaction and e-service quality
Authors: Karim Rashed Al , Rabiul Md Karim , Kawser Sakia 
Published: November 2023

Purpose
This study aims to examine the effect of e-customer relationship management (e-CRM) on customer e-loyalty through e-service quality and e-satisfaction. This study also examines how customers’ e-loyalty affects their willingness to recommend a banking service.

Design/methodology/approach
A total of 372 private bank customers from Chattogram, the second largest and only port city of Bangladesh, were chosen using a convenience sampling technique. Structured equation modelling was used to analyse the data.

Findings
E-CRM positively impacts e-service quality, customer e-satisfaction and customer e-loyalty. The association between e-CRM and customer e-loyalty is sequentially mediated by e-service quality and e-satisfaction. E-loyalty has a significant influence on willingness to recommend a banking service.

Practical implications
The findings will help Bangladeshi banks boost the number of prospective customers implementing e-CRM. In addition, mediators between e-CRM and e-loyalty provides managers a new insight on willingness to recommend a banking service.

Originality/value
The sequential mediation effect of e-service quality and customer e-satisfaction on the connection between e-CRM and e-loyalty represents the unique contribution and enriches the present e-CRM literature, particularly in the Bangladeshi private banking sector.
“Doing inequality, doing intersectionality”: intersectionality as threshold concept for studying inequalities in entrepreneurial activity
Authors: Dy Angela Martinez , MacNeil Heatherjean 
Published: November 2023

PurposeThis paper intervenes in existing literature on entrepreneurship and inequalities by proposing a novel reframing of intersectionality as a threshold concept, an important idea that enables us to deepen and progress the understanding of complex subjectivities.Design/methodology/approachDrawing from education studies, intersectionality is explored through the five key features of threshold concepts: (1) transformative, (2) irreversible, (3) integrative, (4) bounded and (5) troublesome. We offer a set of reflection questions for what we call “doing intersectionality.”FindingsWe develop a metacritique of the way in which the concept of intersectionality has thus far been treated in feminist theory and applied in entrepreneurship studies – namely, as the culmination of thinking about difference and inequality, decoupled from its roots in collectivist analysis and Black and anti-racist feminism. The paper invites scholars of entrepreneurial inequalities to both engage and look beyond an intersectional lens to better elucidate the range of historically emergent social hierarchies and systems of power that shape their phenomena of interest.Originality/valueThrough reframing intersectionality as a threshold concept, this paper challenges entrepreneurship researchers to view intersectionality as a foundational starting point for the conceptualisation of complex interactions of social structures, and the structural inequality and power relationships present within their research, rather than a destination.
Exploring mental health challenges and implications for construction safety
Authors: Lawani Kenneth , Hare Billy , Tong Michael , Cameron Iain 
Published: November 2023

Purpose
Over 2.7 million workers are employed in the UK construction industry and with the fragmented nature of the construction sector; cases of poor mental health of workers are on the increase. This upsurge in the number of workers experiencing poor mental health could directly impact construction safety with significant financial adverse consequences on employers and the UK economy. Studies have identified lapses within the construction sector emphasising the lack of transparency regarding reporting of mental health and well-being of construction workers due to the inadequate engagement from employers and the lack of genuine leadership commitment to tackle mental health.

Design/methodology/approach
This study adopted a non-probability purposive sampling strategy, using a self-selected sample. A self-administered questionnaire benchmarked against the mental health core and enhanced standards tools by the “Stevenson/Farmer review of mental health and employers” served as the basis for the methodology. A total of 106 industry managers from highways, construction, maritime, utilities, home building, rail and haulage/fleet were involved in this study.

Findings
The findings indicate that the industry is making good strides towards addressing mental health issues; poor mental health have significant financial burdens on businesses and the economy; some contractors have mental health initiatives and programmes in place; there is inconsistency of support available to employees; some contractors now integrate leadership training; the level of engagement vary based on the strategy and action plan adopted by organisations; different mechanisms are adopted for monitoring mental health issues, and there are cross-industry initiatives.

Research limitations/implications
A limitation of this study is the number of participants which is not representative of the entire UK construction workforce. Therefore, the findings from this study as much as it presents some understanding of employee mental health and well-being cannot be overtly generalised across multiple industries, different geographic regions or contexts.

Originality/value
Employers should have a clear representation of the mental health of their employees to help them understand what affects worker’s mental well-being and how they can support them. Disregarding the multifaceted causes of mental ill-health due to the perceived financial implications could be more devastating for the industry.
An analysis of housing affordability in Malaysia: random effect approach
Authors: Musaddad Hafirda Akma , Maamor Selamah , Zainol Zairy 
Published: November 2023

Purpose
The purpose of this study paper is to highlight certain related barriers and issues of housing affordability and examine the factors that influence housing affordability in Malaysia.

Design/methodology/approach
This study used panel data including several variables, namely, household expense, population, home financing, interest rate, inflation rate (IF) and rental rate (RR). The regression models of panel data, namely, the ordinary least square model, the fixed effects model and the random effects model, were evaluated for their suitability.

Findings
The findings revealed that RR and IF have a positive and significant impact towards housing affordability. The results provide strong evidence that RR as alternative in determining the home affordability as it helped in reducing the cost and the financing duration period of houses while at the same time increasing the level of capability of homeownership. Meanwhile, the level of IF has positive and significant impact towards housing affordability because it will cause a drop or increase in the purchasing power of households, as well as a decline or increase in the capability to own a house.

Research limitations/implications
The most significant aspects to consider when analysing housing affordability in Malaysia are demand and supply. However, this study focuses on only five variables and only covers Malaysia. As a result, future researchers should analyse the study’s location, such as by region or district, and include additional variables from both the demand and supply sides. Homeownership of affordability requires a broader and more realistic definition in the current context of a more disruptive environment where technology such as fintech, blockchain and the internet of things acts as enablers for not only promoting homeownership but also ensuring homeownership sustainability. As a result, democratising Islamic home financing appears to be a viable option that requires rethinking, and further research is recommended.

Practical implications
The study proposes an end-to-end solution to promote homeownership levels by considering the level of RR as significant variables among stakeholders such as the house buyers/owners, sellers, investors as well the government agencies in influencing affordability in Malaysia.

Originality/value
This paper discusses the indicators of housing affordability index over the 21-year period of 2000–2020, covering all states in Malaysia. The comparison of affordability level can be seen through all states and by regions. Besides that, the findings revealed that RR and IF have a positive and significant impact towards housing affordability. RR is considered an essential variable in promoting homeownership in Malaysia and warrants further investigation towards policy implication. This paper also provides contribution on data on RR by states in Malaysia that can be used by policymakers to some extent.
Green hospital practices on patient’s satisfaction in Indonesian hospital: medical specialist department case investigation
Authors: Ngatindriatun Ngatindriatun , Alfarizi Muhammad , Arifian Rafialdo 
Published: November 2023

Purpose
This study aims to explore the empirical correlation between patient flow issues, quality of green health services and patient satisfaction in specialist medical department factors from patients’ perspectives as service consumers.

Design/methodology/approach
This research is a type of nonintervention empirical research that uses an open survey to explore the views and experiences of users of specialist medical department services. The targeted population is hospital patients included in the top five national PERSI (Indonesian Hospital Association) Award 2022 Green Hospital Category, with a total number of respondents of 572 people. This study uses the partial least square-structural equation modeling analysis method with the SmartPLS application.

Findings
Patient flow problems generally affect the quality of eco-friendly health services, except for the waiting time problem, which affects service quality. It should be understood as a top priority for patients to receive services from medical specialists without risking time as a core service aspect from the patient’s perspective. In addition, all variables in eco-friendly hospital services affect patient satisfaction, except in the case of visits to specialist medical departments, which do not affect medical support services and hospital practices that are responsive to the delivery of care services resulting from medical support services that are inseparable in integrated services as well as health care following medical ethics.

Originality/value
This study has a novelty in understanding the implications of green practice in determining patient satisfaction in medical specialist department as the epicenter of hospital services and the main object of assessment for the quality of hospital services.
Multi-dimensional framework of the information behaviour of SMEs on emerging information communication technology (EICT) adoption
Authors: Eze Sunday C. , Chinedu-Eze Vera C. , Awa Hart Okorie , Asiyanbola Temitope A. 
Published: November 2023

Purpose
This paper aims to consolidate the state of research on information behaviour. Regardless of the scholarly surge on information behaviour using numerous models and extended ones, gaps still exist on the development of more pragmatic frameworks that explain and/or predict the information behaviour across different fragmented environmental situations. Therefore, this paper extends technology-organization-environment (T-O-E) framework and synthesizes different research positions into a multi-dimensional framework that assists small and medium enterprises (SMEs) to understand their information behaviour and to make informed decisions on the adoption of emerging information communication technology (EICT).

Design/methodology/approach
This study deployed an inductive approach; data were generated from unstructured and semi-structured interviews with 20 participants drawn purposively from Luton directories.

Findings
This study developed a more integrated framework underpinned by T-O-E framework, which helped to identify how EICT adoption is critically shaped by perceived information need, information sources selection and the factors determining information source selection.

Research limitations/implications
Qualitative research is normally subjective, inductive, interpretive and limited on the sample used. However, because of the limited number of interviews used, as well as industry-specific nature of the study, the generalization of the framework and the findings will be difficult, hence, the need to test the framework on a broader population and cross-context testing.

Originality/value
The T-O-E framework is extended to Expectancy (T-O-E-E) to provide a more robust insight into information behaviour of SMEs from a multi-dimensional perspective. It also offers a more analytical framework for exploring critical issues identified and demonstrates the capacity to provide a reliable explanation to the findings. Further, it serves as a tool for assessing the benefits or challenges of SMEs information behaviour especially on the EICT adoption decision.
Small molecule. Big biology. Dual phosphatase inhibitor enters the immunotherapy fray
Authors: Wilson Nicholas S , Huntington Nicholas D 
Published: November 2023

AbstractThe advent and clinical success of immune checkpoint inhibitors Ipilimumab, Nivolumab and Pembrolizumab has had a seismic impact on our drug discovery focus and rationale. Novel extrinsic targets that enhance immune responses to cancer are actively being pursued, while tumor intrinsic targets that render cancer cells more sensitive to the immune system have joined traditional intrinsic targets (e.g. directly cytotoxic) in the drug discovery pipeline. The phosphatase PTPN2 (TC‐PTP) and its paralog PTPN1 (PTP‐1B) are negative regulators of several cytokine signaling pathways and T cell receptor (TCR) signaling. In a recent publication, Baumgartner et al. demonstrate the pre‐clinical efficacy of a first‐in‐class dual PTPN1/N2 active site inhibitor (ABBV‐CLS‐484/AC484) in cancer models.
Approach–Avoidance Responses to Affective Facial Expressions and Bodily Posture1,2
Authors: Ikeda Shinnosuke 
Published: November 2023

AbstractHuman beings perceive the emotions of others through various cues, such as facial expressions, voice, and bodily posture. These social signals have been acquired evolutionarily, and reports suggest that emotions are recognized to some extent in a culturally universal pattern. It has also been suggested that an observer's approach or avoidance responses toward the expressor occur at the initial stage of emotion perception. However, such approach–avoidance reactions have hitherto been examined mainly in response to facial expressions and not bodily postures. Therefore, this study examined approach–avoidance responses to anger and fear as visualized through facial expressions and bodily postures. The study sample comprised 58 university students. The results showed that, as in a previous study, approach responses to fear and avoidance responses to anger were dominant in both facial expression and bodily posture conditions. This suggests that bodily posture and facial expression are social signals that can elicit an approach–avoidance response from the observer.
One‐dimensional sharp discrete Hardy–Rellich inequalities
Authors: Huang Xia , Ye Dong 
Published: November 2023

AbstractIn this paper, we establish discrete Hardy–Rellich inequalities on with and optimal constants, for any . As far as we are aware, these sharp inequalities are new for . Our approach is to use weighted equalities to get some sharp Hardy inequalities using shifting weights, then to settle the higher order cases by iteration. We provide also a new Hardy–Leray–type inequality on with the same constant as the continuous setting. Furthermore, the main ideas work also for general graphs or the setting.
Does Fan Feel and Visibility During Thermostat Interaction Affect Temperature Selection in Warm Ambient Conditions?
Authors: Rea A. L. , Corbit L. H. , Shu L. H. 
Published: November 2023

Abstract
A vicious cycle exists when higher global temperatures increase the demand for indoor air-conditioning, which consumes significant energy while heating the outdoors. These higher outdoor temperatures then prompt more air-conditioning use. This unsustainable cycle motivated us to develop an intervention to encourage more energy-efficient temperature adjustments during warm ambient conditions. We explored whether an experimental thermostat interface, which incorporated mechanical fans, affected individual thermostat-setting behavior. Experimental parameters were (1) feel versus don't-feel fans and (2) high- versus low-visibility fans. Participants were 23 university students, including 20 enrolled in an introductory psychology course. When prompted to make temperature adjustments, we found that participants who felt the fans selected higher (more energy-efficient) temperatures in warm ambient conditions. This effect held regardless of whether participants could clearly see the fans or not. These results inform how products can be designed to increase energy-conscious behaviors.
A Machine Learning Model for Prediction of Marine Icing
Authors: Deshpande Sujay 
Published: November 2023

Abstract
Marine icing due to freezing sea spray has been attributed to many safety incidences. Prediction of sea spray icing is necessary for operational safety, design optimization, and structural health. In general, lack of detailed full-scale measurements due to the complexity and costs make validation difficult. The next best option is that of controlled laboratory experiments. The current study is the first study in the field of sea spray icing that investigates the use of new data science technologies like machine learning and feature engineering for the prediction of sea spray icing based on data collected from controlled laboratory experiments. A new prediction model dubbed “Spice” is proposed. Spice is designed “bottom-up” from experimentally collected data, and thus, if the input variables are accurately known, it could be said to be highly accurate within the tested range compared to existing theoretical models. Results from the current study show promising trends; however, more experiments are suggested for increasing the range of confident predictions and reducing the skewness of the training data. Results from spice are compared with five existing models and give icing rates in various conditions in the middle of the spectrum of the other models. It is discussed how validation from two existing full-scale icing measurements from literature proves to be challenging, and more detailed measurements are suggested for the purpose of validation.