bluuebunny/crossref_metadata_2025_split huggingface dataset:
An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling
Authors: Tahmassebi Amirhessam , Motamedi Mehrtash , Alavi Amir H. , Gandomi Amir H. 
Published: July 2021

PurposeEngineering design and operational decisions depend largely on deep understanding of applications that requires assumptions for simplification of the problems in order to find proper solutions. Cutting-edge machine learning algorithms can be used as one of the emerging tools to simplify this process. In this paper, we propose a novel scalable and interpretable machine learning framework to automate this process and fill the current gap.Design/methodology/approachThe essential principles of the proposed pipeline are mainly (1) scalability, (2) interpretibility and (3) robust probabilistic performance across engineering problems. The lack of interpretibility of complex machine learning models prevents their use in various problems including engineering computation assessments. Many consumers of machine learning models would not trust the results if they cannot understand the method. Thus, the SHapley Additive exPlanations (SHAP) approach is employed to interpret the developed machine learning models.FindingsThe proposed framework can be applied to a variety of engineering problems including seismic damage assessment of structures. The performance of the proposed framework is investigated using two case studies of failure identification in reinforcement concrete (RC) columns and shear walls. In addition, the reproducibility, reliability and generalizability of the results were validated and the results of the framework were compared to the benchmark studies. The results of the proposed framework outperformed the benchmark results with high statistical significance.Originality/valueAlthough, the current study reveals that the geometric input features and reinforcement indices are the most important variables in failure modes detection, better model can be achieved with employing more robust strategies to establish proper database to decrease the errors in some of the failure modes identification.
The physical, emotional and behavioral symptoms of health problems among employees before and during the COVID-19 epidemic
Authors: Rožman Maja , Tominc Polona 
Published: July 2021

PurposeThe coronavirus disease 2019 (COVID-19) epidemic has caused stress for everyone and impacted the lives of people globally. Such stress increases troubles for the employees. Therefore, the aim of the paper is to identify symptoms of health problems that employees face during the COVID-19 epidemic. Also, the aim of the paper is to examine if there are statistically significant differences in the physical, emotional and behavioral symptoms of health problems among employees before the COVID-19 epidemic and employees during the COVID-19 epidemic.Design/methodology/approachThe research is based on a survey of 950 employees in Slovenian companies. The factor analysis and the t-test for two independent samples were used to test the hypotheses of the research.FindingsThe results show that physical, emotional and behavioral symptoms of health problems of employees during the COVID-19 epidemic are intensified as compared to the before COVID-19 epidemic era.Originality/valueThe results highlight the measures with which companies can reduce the problem of different symptoms of employees during the COVID-19 epidemic. The results can be useful for employers and for managers who want to create an adequate working environment for employees during the COVID-19 epidemic.
SpaceX Hyperloop: a future technology disruption of the transportation system?
Authors: Harris Wesley L. , Wonglimpiyarat Jarunee 
Published: July 2021

Purpose
This paper aims to discuss the possibility that Hyperloop using air levitation technology would create a revolution in the future industry of transportation. It also analyses the financing dimension in bringing Hyperloop technology towards full-scale commercialisation.

Design/methodology/approach
The study uses a case study of SpaceX Hyperloop. The analyses if Hyperloop would bring about a paradigmatic shift in the transportation industry are based on the classical economic theories of technology S-curves (Utterback and Abernathy, 1975; Fisher and Pry, 1971) and Schumpeter’s model of economic development (Schumpeter, 1939, 1967). The three factors influencing a paradigmatic change (a shift in technoeconomic paradigm) according to Freeman and Perez (1988) are also explored.

Findings
The analyses of findings have shown that Hyperloop has not yet met three factors influencing a paradigmatic change. However, the Hyperloop technology has the potential to create a new market of mass transportation. In terms of technology financing, SpaceX needs the right financing infrastructure – corporate venture arm, the crowdfunding platform, initial coin offering, as well as debt and equity financing to accelerate the process of commercialisation. As the project moves forward, Hyperloop technology would create a market for itself (innovation to create the demand and not demand to create innovation).v

Originality/value
Although the body of literature on technology management is already voluminous, there has been a scarcity of past research devoted to elucidating the technology disruption and technology financing. This research study has applied the concepts of technology S-curves to better understand if SpaceX Hyperloop would bring about a paradigm shift or revolution in the future of the transportation industry. The research findings would help fill an identified knowledge gap in the body of research in technology disruption and financing.
Effects of faith-based attributes on hotel prices: the case of halal services
Authors: Papastathopoulos Avraam , Koritos Christos , Mertzanis Charilaos 
Published: July 2021

Purpose
For more than 40 years, researchers have examined an exhaustive set of attributes as price determinants in tourism and hospitality. In extending this rich research stream, this study aims to propose and empirically assess a new set of hotel attributes, namely, faith-based attributes that allow tourists to continue following the activities and rituals guided by their religions while on vacation.

Design/methodology/approach
Using the Bayesian quantile regression for the first time in the field of hotel pricing, the hedonic pricing models examine both internal and external faith-based attributes, namely, halal services, which cater to the needs of Muslim tourists, in a sample of 805 hotels across the top three non-Muslim country destinations (Singapore, Thailand and Japan).

Findings
By exploring the effects of faith-based (halal) attributes available in hotels located in the biggest cities of the above-mentioned destinations, this study provides evidence for the significant role of faith-based (halal) attributes in determining hospitality prices.

Practical implications
This study’s findings offer a resource for several implications for tourism and hospitality scholars, practitioners and policymakers, especially within the field of Muslim/halal tourism, to develop action plans and strategies.

Originality/value
This study is the first to introduce a novel set of faith-based hospitality attributes and empirically assess their impact on hospitality price formation. Additionally, it contributes to the hedonic pricing method by being the first to use the Bayesian quantile regression.
Customer emotion research in hospitality and tourism: conceptualization, measurements, antecedents and consequences
Authors: Tuerlan Tuerxunbieke , Li Shanshi , Scott Noel 
Published: July 2021

PurposeTo clarify inconsistencies in the emotion elicitation process and to suggest avenues for advancing emotion research, this study aims to conduct a systematic review of emotion research in the subject area of hospitality and tourism management.Design/methodology/approachThis study analyzes 178 emotion-related articles published in 37 journals from 2004–2019 in the context of hospitality and tourism, providing a systematic synthesis of publication outlets and trajectories, research settings, the conceptualization of emotion, emotion measurement, classifications of antecedents and consequences.FindingsRegarding the elicitation of emotions, many studies ignore the developments in emotion research in the mainstream discipline and still consider external stimuli as the direct causes of emotion. Numerous studies conceptualize customer emotion as positive or negative, which overlooks the nuances between discrete emotions with the same valence. Additionally, emotion scales are largely borrowed from psychology without considering the specific characteristics of the hospitality and tourism context. Methodologically, most studies take a single-measure lens with either a self-report, physiological or expression behavior measure.Research limitations/implicationsThe analysis of the literature highlights three main areas for future emotion studies in the hospitality and tourism context.Originality/valuePrevious reviews are narrative and only address specific areas of interest, rendering them incapable of explaining how a systematic literature identification process was conducted. The present systematic review is among the first to provide an overview of emotion studies in hospitality and tourism over a 15-year period. By drawing insights from appraisal theories of emotions, this review addresses common misunderstandings concerning the emotion elicitation process in the current hospitality and tourism literature.
Going beyond parametric regression in public management research
Authors: Jones Peter A. , Reitano Vincent , Butler J.S. , Greer Robert 
Published: July 2021

PurposePublic management researchers commonly model dichotomous dependent variables with parametric methods despite their relatively strong assumptions about the data generating process. Without testing for those assumptions and consideration of semiparametric alternatives, such as maximum score, estimates might be biased, or predictions might not be as accurate as possible.Design/methodology/approachTo guide researchers, this paper provides an evaluative framework for comparing parametric estimators with semiparametric and nonparametric estimators for dichotomous dependent variables. To illustrate the framework, the article estimates the factors associated with the passage of school district bond referenda in all Texas school districts from 1998 to 2015.FindingsEstimates show that the correct prediction of a bond passing increases from 77.2 to 78%, with maximum score estimation relative to a commonly used parametric alternative. While this is a small increase, it is meaningful in comparison to the random prediction base model.Originality/valueFuture research modeling any dichotomous dependent variable can use the framework to identify the most appropriate estimator and relevant statistical programs.
Digital project management: rapid changes define new working environments
Authors: Wu Te 
Published: July 2021

Purpose
Prior to the COVID-19 pandemic, project management was undergoing gradual shift and moving from traditional ways of working toward embracing digitization. The COVID-19 pandemic accelerated this transformation. This paper highlights the importance of digital project management (DPM), its adoption of digital technologies, the changing role of digital project manager, significant and abrupt swing in the rise of virtual teams and the benefits and challenges of remote project teams. This paper aims to discuss the latest development in project management and to lay out the rationale why DPM is here to stay even after the pandemic.

Design/methodology/approach
The author has based this research on reviewing publications from the project management journals and publications, interviews of project management professionals and analyzing data from a project management consultancy.

Findings
The pandemic accelerated the digitalization of project management including the adoption of digital tools and technologies, embracing an agile approach to implementing projects; working collaborative in remote teams; and breaking traditional barriers of geography, time zones and fundamentally how project teams collaborate.

Practical implications
Project management is being digitized, changing how teams work. Fueled by the pandemic, DPM accelerated its momentum. The rate of adoption is likely to be strong after the pandemic. Organizations and individuals should consider embracing DPM but with the full knowledge of both benefits and challenges.

Originality/value
DPM is still in its early days even though the COVID-19 pandemic accelerated its use. Today and likely after the pandemic, organizations and people are increasingly embracing digital technologies, remote teams and agile project management approaches to project management. It is likely that in the foreseeable future, nearly all project managers will be digital project managers, giving rise to the importance of understanding the challenges and benefits and building the digital skills for both individuals and organizations.
Do kiosks outperform cashiers? An S-O-R framework of restaurant ordering experiences
Authors: Leung Xi Y. , Torres Bryan , Fan Alei 
Published: July 2021

Purpose
This study aims to compare the performance of self-service kiosks in a quick-service setting with the performance of cashiers. In particular, this study explores both internal responses and external responses between the two ordering methods with the moderating role of crowdedness.

Design/methodology/approach
This study develops a theoretical framework based on the stimulus-organism-response (S-O-R) model. A 2 × 2 field experiment was conducted in a real quick-service outlet to collect data.

Findings
The results reveal that customers reported a better experience when using self-service kiosks compared to placing orders with cashiers. However, cashiers generated more revenue for the quick-service outlet than kiosks. Significant interaction effects were found for external responses. Customers spent more time placing orders with cashiers than with kiosks in less crowded periods, while cashiers generated more sales than kiosks during busier periods.

Originality/value
This study enriches the hospitality and tourism literature by applying the S-O-R framework in an experimental design incorporating both internal and external responses. The findings on the interaction between ordering methods and crowdedness on external responses provide practical insights for quick-service restaurant operators to find a balance between technology and human services.
Nonprofit impact measurement and collaboration
Authors: Yang Cherrie 
Published: July 2021

Purpose
The COVID-19 pandemic has forced not-for-profit organizations (NFPs) to look outside their organizational boundaries for collective impact. In this unprecedented and turbulent situation, the need to understand and articulate the effectiveness and impact of collaborative efforts is paramount. The purpose of this paper is to explore the potential nexus between nonprofit impact measurement and collaboration.

Design/methodology/approach
This paper reviews key aspects of the NFP impact measurement and collaboration literature and discusses the potential nexus between these two concepts. NFP collaboration refers to the collaborative arrangements that involve NFPs with other NFPs and/or businesses and government.

Findings
Based on a literature review, this paper argues that NFPs must acknowledge the significance of impact measurement when engaging in collaborative efforts and the mutually reinforcing relationships between the NFP impact measurement and collaboration to make a collective impact.

Originality/value
Research on the nexus of NFP impact measurement and collaboration is scant, but it is urgently needed due to the COVID-19 crisis. This paper is timely to review the extant knowledge base of NFP impact measurement and collaboration and attempts to draw meaningful connections between the two concepts. The paper also has significant implications for practice as it responds to the calls for more collaboration in the New Zealand NFP sector and will be of interest to NFP leaders, managers, funders and policymakers.
Strain, negative emotions and turnover intentions among American police managers
Authors: Andreescu Viviana , Vito Gennaro F. 
Published: July 2021

PurposeThe main objective of the study is to identify the effects of various sources of job-related strains on police managers' turnover intentions.Design/methodology/approachData from a sample of American police managers (N = 179) were used to construct a path model that estimated the direct and indirect effect of environmental and organizational stressors on turnover intentions while considering the mediating role of negative emotionality.FindingsAlthough most of the surveyed police managers (61%) did not report turnover intentions, those who did were more likely to have experienced burnout, frustration and/or emotional drain. Strenuous relationships with police supervisors and work–life imbalances were the main sources of these negative emotions. Turnover intentions were expressed by managers at the operational/technical level (sergeants) and by those who perceived a lack of procedural justice at the agency level. Highly educated managers were significantly less likely to report burnout and turnover intent.Research limitations/implicationsSince this analysis is based on a relatively small convenience sample of police managers, readers should interpret the results cautiously.Practical implicationsTo reduce turnover in police organizations, police administrators should implement and follow policies and procedures to ensure a fair, consistent and just treatment of all employees.Originality/valueThis is one of the few recent studies that focused exclusively on police managers' turnover intentions.
Evolution of the housing market under the framework of adaptive market hypothesis and martingale difference hypothesis: a case of India
Authors: Pandey Richa , Jessica V. Mary 
Published: July 2021

PurposeThe purpose of this study to evaluate the evolving market efficiency of the housing market under the framework of adaptive market hypothesis and martingale difference hypothesis taking a case of India.Design/methodology/approachThe study used a wild bootstrap version of the generalized spectral (GS) test in the rolling window framework to measure possible time-varying linear and non-linear dependence in the housing market.FindingsThe study finds that the Indian housing market, in general, is not efficient, and this efficiency is dynamic, which changes with time lending support to the adaptive market hypothesis. The study confirms that the evolutionary model of individuals adapting to a changing environment via behavioural biases affects the efficiency of the housing market, which leads to the evolving efficiency of the housing market prices.Research limitations/implicationsThe study believes that the potential implications go beyond evolutionary forces and the adaptive market hypothesis , which, does not only depend on an individual's decision-making process but also on social psychology. Thus, a further attempt in this line, taking into account the social psychology and quantitative rigour towards drivers of evolving efficiency is suggested for future research.Practical implicationsThe study suggests that there is a possibility of extra returns for market players, but not always. The Indian housing market has witnessed several landmark reforms in recent years, so it is believed that these reforms would decrease the inefficiency level of this market. Contrary to this, the study’s findings reveal an increase in the inefficiency level in recent years. As the Indian housing market shows evolving efficiency, it is believed that the increased inefficiency is temporary. The increased inefficiency can be regarded as the settlement stage of the various policy and technical reforms.Originality/valueConfirming the presence or absence of adaptive efficiency in the housing market under possible non-linear dependence will be a significant addition to the existing literature.
Financial challenges experienced by South African non-profit organisations regarding CSR implementation
Authors: Sibisi Nobuntu , Makka Anoosha 
Published: July 2021

Purpose
The purpose of this paper is to understand the financial challenges experienced by non-profit organisations (NPOs) when implementing corporate social responsibility (CSR) initiatives in South Africa. These challenges have a negative impact on NPOs because they impede the successful implementation of CSR projects.

Design/methodology/approach
A qualitative research method and a purposive sampling strategy were used in this study. Semi-structured interviews were conducted with 13 employees from three NPOs in South Africa from the education, enterprise development and health and social development sectors. Content analysis was used to examine the data.

Findings
The findings revealed that NPOs in South Africa experience serious financial resource challenges, notably, overreliance on donor funding; difficulty in obtaining donor funding; limited donor funding available; intense competition from other non NPOs to secure donor funding; donors unwilling to fund operational costs and prescribing exactly how funds should be used; and donors signing non-binding contracts on the provision of funding.

Research limitations/implications
The sample size of the study was small, namely, three NPOs from Gauteng Province (Johannesburg) in South Africa. Therefore, this study covered only one geographic area of South Africa and the findings cannot be generalised across other provinces of the country.

Practical implications
The results of this study could have implications for donors and NPO employees involved in CSR activities in South Africa.

Originality/value
This study bridges a gap in literature by revealing the key financial challenges experienced by South African NPOs in implementing CSR initiatives and the impact of those challenges on their CSR efforts.
Impact of shared leadership on team performance through team reflexivity: examining the moderating role of task complexity
Authors: Hadi Noor Ul , Chaudhary Anum 
Published: July 2021

Purpose
To react quickly and to be flexible to respond to environmental uncertainty, working in teams is preferable. However, leadership must be decentralised for effective team performance. This paper aims to examine the impact of shared leadership on team performance through team reflexivity with task complexity.

Design/methodology/approach
To test the hypothesised relationships, a quantitative research design with purposive sampling technique was used. Data were gathered from employees working in teams. A total of 351 valid responses were analysed via SPSS PROCESS macro.

Findings
The findings signify that shared leadership positively impacts team reflexivity, which, in turn, has a significant impact on team performance. Results also revealed that team reflexivity strongly affects team performance in the presence of shared leadership and complex tasks.

Originality/value
Research related to effective team performance is scarce. Similarly, a review of a recently published article revealed that team reflexivity could work as a mediating mechanism in the relationship between shared leadership and effective team performance. Moreover, the concept of task complexity in the existing literature is scattered and needs to be integrated.