bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring the impact of remote working adaptation on employees' well-being during COVID-19: insights for innovation management environments
Authors: Alvarez-Torres Francisco Javier , Schiuma Giovanni 
Published: August 2022

PurposeA new type of digital-based worker emerged during the COVID-19. As a result, during the adjustment to this scenario, family, resources and emotions were impacted. Technological and emotional skills were crucial to give continuity and certainty to business. However, despite benefits, remote working has negative consequences, especially in well-being perception. This study proposes a model to measure the impact on the well-being perception of workers that adapted their job to remote positions during a pandemic and offers a valuable framework to understand future emerging changes in remote working and the relationship with well-being perception, especially during crisis scenarios.Design/methodology/approachThe study used an online questionnaire and a structural equation methodology by partial least squares (PLS) using SmartPLS 3.3.3. Data were obtained from 567 respondents workers who adapted to their jobs during the pandemic in Mexico.FindingsThe results showed that six model dimensions: human relations (RH), emotions (E), well-being behaviors related to Covid-19 (CB), family economics (EF), routines and habits (RS) and family life (VF) were positive and significant to reflect the Index of Perception of Well-being (iWB) using a structural equation model. This indicates how the lockdown process changed people's perception of well-being and concerns. According with this, for remote working employees, two dimensions were relevant: RH and EF. This finding is relevant because during emergency lockdown, these workers needed to adapt their activities and were separated from all human interactions.Practical implicationsThe researchers’ model of Index of Perception of Well-being (iWB) has conceptual and practical implications. From a conceptual point of view, it offers a methodology to measure the relationships between remote working and employees' well-being perception. While for practice, it offers managerial implications to better manage remote working adaptation without compromising people's well-being to create future innovation management environments (IME) for organizations.Originality/valueThis study contributes to develop research about changes in workers' well-being perception during digital adaptation.
Decision support system (DSS) for facilities rehabilitation and management (part 1): development of integrated AHP-MAUT performance assessment model (PAM)
Authors: Aldeeb Owais , Qasem Altayeb 
Published: August 2022

Purpose
The purpose of this paper (Part 1 of 2) is to develop a systematic performance assessment model (PAM) for measuring facilities condition in terms of physical, environmental and operational impacts on performance.

Design/methodology/approach
The methodology entailed a review of literature to identify performance impacting factors (PIFs) of a facility. PIFs were categorized as physical, environmental and operational. Subsequently, 71 experts were interviewed to prioritize the identified PIFs in terms of their impact on facility performance via analytical hierarchy process (AHP) technique. A second round of interviews with 11 experts was conducted to set a utility scoring mechanism for the PIFs via multiattribute utility theory (MAUT) technique, the utility score in correlation to a set scale would describe the level of service(LoS). Finally, AHP and MAUT outputs were mathematically integrated to determine the final condition rating index of all PIFs and the whole facility as a result.

Findings
First, PIFs of a case study mosque facility under three scenarios with different groupings of functional spaces were defined. Functional spaces’ prioritization was as follows: prayer hall (57%–65%), wet areas (25%–26%), minaret (9%–10%), and yard/site (7%–8%). Subsequently, each space’s PIFs and its subcategories were assigned weights as well, the first level of PIFs’ relative weights was as follows: physical (68%–73%), operational (19%–20%) and environmental (7%–13%). Physical PIFs weights differed per functional space but structural factor dominated with (38%–71%) relative weight except for the yard/site. Finally, a detailed condition evaluation mechanism for each PIF was defined.

Originality/value
This study contributes to facilities management industry and offers a systematic approach encompassing multiple PIFs that will regulate inspection then maintenance through desired corrective actions by facility managers to achieve desired LoS.
Becoming accustomed to online teaching: nursing lecturers' experiences in the era of COVID-19
Authors: Ligita Titan , Mita  , Murtilita  , Winarianti  
Published: August 2022

PurposeThis study aimed to explore nursing lecturers' experiences of online teaching and learning during the coronavirus disease 2019 (COVID-19) pandemic. The COVID-19 policy on social and physical distancing urges nursing lecturers to provide online teaching delivery for their students using both synchronous and asynchronous methods. However, the experiences of nursing lecturers providing online teaching delivery in the era of COVID-19 are yet unknown.Design/methodology/approachThe authors used an interpretive phenomenological analysis study design. Participants were seven nursing lecturers, with whom we conducted in-depth interviews using semi structured questions through telephone calls or video conferences. Interpretive phenomenology analysis was adopted to analyse the generated data.FindingsThe core theme of this current study is that of becoming accustomed to online teaching delivery. The main theme is supported by three sub-themes, which are being comfortable with the technology, difficulties and how to overcome them and caring for students to explain the online teaching experiences of nursing lecturers.Originality/valueThe results of this study demonstrate that familiarity with technology is critical for lecturers to facilitate their online teaching. There is a need for further enhancement of technology and application usage to improve the quality of nursing lecturers' teaching methods and ensure the provision of theory and nursing skill competency to students.
Determinants of article processing charges for hybrid and gold open access journals
Authors: Asai Sumiko 
Published: August 2022

Purpose
While the number of hybrid journals has increased with the conversion from subscription journals, article processing charges (APCs) have not been examined as frequently as gold open access journals. This study compared the factors affecting APCs for hybrid and gold open access journals by formulating a charge equation.

Design/methodology/approach
This study examined the APCs for 1,354 hybrid and gold open access journals in the Springer imprint. Using the ordinary least squares method, it investigated the determinants of charges, including the relationship between subscription prices and APCs for hybrid journals.

Findings
The results revealed that the charges set by hybrid journals were higher than those set by gold open access journals by US$1,620, after controlling for other variables. A reason could be the oligopolistic market structure of the leading publishers. Although the publisher imprint set the APCs based on the journal characteristics, the difference in the determinants of the charges between the two journal types may be due to the business models specific to the journal types.

Research limitations/implications
The findings suggested that policymakers must consider the market power of leading publishers to establish a healthy scholarly communication market.

Originality/value
This study examined the relationship between subscription prices and charges for hybrid journals as well as the determinants of charges for both journal types, considering various characteristics of individual journals.
Dynamic relationship between energy efficiency, health expenditure and economic growth: in pursuit for SDGs in Malaysia
Authors: Matahir Hylmee , Yassin Jain , Marcus Herniza Roxanne , Shafie Nur Aima , Mohammed Nor Farizal 
Published: August 2022

PurposeThis paper aims to examine the dynamic relationship among energy efficiency, health expenditure and economic growth in Malaysia over the sample period of 1980–2016.Design/methodology/approachThis study uses autoregressive distributed lag cointegration analysis and the causality approach by the vector error correction model to analyse the relationship among energy efficiency, which is proxied by energy intensity and the determinant factors.FindingsThe findings of this paper suggest long-run cointegration causal links between economic growth and health expenditure. However, a mixed conclusion for both determinants exists: an increase in real income contributes to more efficient use of energy sources, whereas an increase in government spending on health intensifies energy usage.Originality/valueMost previous relevant research has focussed on energy efficiency as measured by economic intensity and economic growth and do not relate to the issue of health expenditure. The recent health catastrophe brought on by the COVID-19 epidemic emphasises the significance of allocating more resources to health care. The findings will be helpful in the development of energy efficiency and economic policies in pursuit of sustainable development goals.
A method for detecting and monitoring changes to the Okotoks Erratic – “Big Rock” provincial historic site
Authors: Dawson Peter , Brink Jack , Farrokhi Alireza , Jia Fengman , Lichti Derek 
Published: August 2022

PurposeDesigning and implementing effective strategies for managing heritage resources throughout the world has become critically important as the impacts of climate change and human-caused destruction are increasingly felt. Of particular importance is the ability to identify and track fast- and slow-moving processes associated with weathering, erosion and the movement or removal of heritage objects by natural and human agents. In this paper, the authors demonstrate how 3D laser scanning can be used to detect and monitor changes to the Okotoks Erratic “Big Rock” Provincial Historic Resource in Alberta, Canada, over a period of 7 years.Design/methodology/approachTerrestrial laser scanning surveys of the Okotoks Erratic “Big Rock” Provincial Historic Resource were undertaken in 2013, 2016 and 2020. Registration was used to place the three epochs of point clouds into a unique datum for comparison using the cloud-to-cloud distance function in Cloud Compare.FindingsThe movement/repositioning of rocks around the base of the erratic, the emergence of “unofficial” paths and changes to interpretive trails and fencing were all identified at the site over the time period of the study.Practical implicationsCurrent conservation at the Okotoks Big Rock focus primarily on the rock art panels that are scattered over the erratic. The results of this study indicate they should be broadened so that the geological integrity of the site, which is intrinsically linked to its cultural value, can also be maintained.Originality/valueThis is the first study the authors are aware of that utilizes terrestrial laser scanning + change detection analysis to identify and track changes to a heritage site over a period as long as 7 years.
A mathematical model for integrated aircraft and crew recovery after a disruption: a Benders’ decomposition approach
Authors: Khiabani Amir , Rashidi Komijan Alireza , Ghezavati Vahidreza , Mohammadi Bidhandi Hadi 
Published: August 2022

Purpose
Airline scheduling is an extremely complex process. Moreover, disruption in a single flight may damage the entire schedule tremendously. Using an efficient recovery scheduling strategy is vital for a commercial airline. The purpose of this paper is to present an integrated aircraft and crew recovery plans to reduce delay and prevent delay propagation on airline schedule with the minimum cost.

Design/methodology/approach
A mixed-integer linear programming model is proposed to formulate an integrated aircraft and crew recovery problem. The main contribution of the model is that recovery model is formulated based on individual flight legs instead of strings. This leads to a more accurate schedule and better solution. Also, some important issues such as crew swapping, reassignment of aircraft to other flights as well as ground and sit time requirements are considered in the model. Benders’ decomposition approach is used to solve the proposed model.

Findings
The model performance is also tested by a case including 227 flights, 64 crew, 56 aircraft and 40 different airports from American Airlines data for a 24-h horizon. The solution achieved the minimum cost value in 35 min. The results show that the model has a great performance to recover the entire schedule when disruption happens for random flights and propagation delay is successfully limited.

Originality/value
The authors confirm that this is an original paper and has not been published or under consideration in any other journal.
What draws voters to brandidates and why? – Political orientation, personal satisfaction, and societal values on presidential candidates’ brand personality
Authors: Harrison Kristina Marie , Yoo Boonghee , Thelen Shawn , Ford John 
Published: August 2022

Purpose
The purpose of this study is to determine the impact of voters’ personal and societal values on presidential candidate brand personality preference. In addition, the research examines which brand personalities are deemed most and least important. This research meets the growing demand to further understand how voters develop preferences for brandidates.

Design/methodology/approach
Voters ranked which presidential brand personalities they deemed most important in a candidate as well as which of the two major candidates they most associated with that trait. Data were collected weeks in advance of the 2020 presidential election from a national online panel representing a balanced mix of voters by party affiliation.

Findings
The results indicate that life satisfaction, political orientation and postmaterialism are significant and provide adequate explanatory power in understanding which brand personality traits are associated with a presidential candidate. Also, using an importance-performance matrix, the authors find which candidate is most identified with various brand personality traits and how important those traits are to voters.

Research limitations/implications
Using the importance-performance matrix for assessing brand/candidate personality preference by consumers/voters provides researchers with a multidimensional method for analyzing how various dimensions influence selection preference. The explanatory power of the independent variables, i.e. political orientation, comparative life satisfaction and societal values, is very low when regressed against personality attributes in general (not assigned to a candidate); however, they provide meaningful results when regressed against personality attributes when assigned to candidates. Understanding the importance of general brand personality attributes is not as important as understanding their importance when associated with a specific brand.

Practical implications
The importance-performance matrix for brand/candidate personality presented in this research clearly indicated and predicted voter preference for the 2020 Presidential election; thus, this tool can be effectively used by political marketers in future elections. Political orientation so strongly influences voter perception of specific candidate brand personality dimensions that they view their preferred candidate to be universally superior to other candidates. Political marketers can appeal to voters based on their political orientation to strengthen the relationship between candidates and voters.

Originality/value
This research investigates how personal and societal values impact voters’ preference for brand personality traits in a presidential candidate. Voter preference for presidential brand personality traits is assessed generically, i.e. not associated with a particular candidate, as well as when they are linked to a specific candidate, i.e. Biden and Trump.
Industry 4.0 and intelligent predictive maintenance: a survey about the advantages and constraints in the Italian context
Authors: Stefanini Roberta , Tancredi Giovanni Paolo Carlo , Vignali Giuseppe , Monica Luigi 
Published: August 2022

PurposeIn the context of the Industry 4.0, this paper aims to investigate the state of the art of Italian manufacturing, focusing the attention on the implementation of intelligent predictive maintenance (IPdM) and 4.0 key enabling technologies (KETs), analyzing advantages and limitations encountered by companies.Design/methodology/approachA survey has been developed by the University of Parma in cooperation with the Italian Workers' Compensation Authority (INAIL) and was submitted to a sample of Italian companies. Overall, 70 answers were collected and analyzed.FindingsResults show that the 54% of companies implemented smart technologies, increasing quality and safety, reducing the operating costs and sometimes improving the process' sustainability. However, IPdM was implemented only by the 37% of respondents: thanks to big data collection and analytics, Internet of Things, machine learning and collaborative robots, they reduced downtime and maintenance costs. These changes were implemented mainly by large companies, located in northern Italy. To spread the use of IPdM in Italian manufacturing, the high initial investment, lack of skilled labor and difficulties in the integration of new digital technologies with the existing infrastructure are the main obstacles to overcome.Originality/valueThe article gives an overview on the current state of the art of 4.0 technologies implementation in Italy: it is useful not only for companies that want to discover the implementations' advantages but also for institutions or research centres that could help them to solve the encountered obstacles.
How social presence influences consumer purchase intention in live video commerce: the mediating role of immersive experience and the moderating role of positive emotions
Authors: Huang Zhen , Zhu Yidan , Hao Andy , Deng Jia 
Published: August 2022

PurposeThis paper aims to examine the relationship between social presence and consumer purchase intention in the context of livestreaming commerce and test the mediating role of immersive experience and the moderating role of positive emotions.Design/methodology/approachThe authors used a convenience sampling method to select 408 college students from a university in Ganzhou as the participants. They employed structural equation modeling to test the hypotheses, as well as Hayes' PROCESS to test the mediation and moderation effects.FindingsThe authors found that immersion experiences partially mediate the relationship between social presence and consumers' purchase intentions and positive emotions moderate the “social presence–immersion experience–consumer purchase intentions” path. Therefore, social presence constitutes a moderating mediating effect on consumer purchase intentions.Practical implicationsThis study offers meaningful insights into how livestreamers and e-retailers can stimulate consumers' buying behavior in livestreaming environments. E-commerce platforms should strengthen consumer interactions and increase consumers' perceptions of social presence. In addition, companies should meet the social and psychological needs of consumers and generate positive emotional resonance.Originality/valueThis research sheds light on the effect of social presence on consumer purchase intentions in livestreaming commerce and extends the social presence literature by investigating the mediation mechanism of immersive experience.
Residual mechanical properties of basalt fibre reinforced cement mortars at elevated temperatures
Authors: Revanna Naveen , Moy Charles K.S. 
Published: August 2022

PurposeA study on the mechanical characteristics of cementitious mortar reinforced with basalt fibres at ambient and elevated temperatures was carried out. To investigate their effect, chopped basalt fibres with varying percentages were added to the cement mortar.Design/methodology/approachAll the specimens were heated using a muffle furnace. Flexural strength and Compressive strength tests were performed, while monitoring the moisture loss to evaluate the performance of basalt fibre reinforced cementitious mortars at elevated temperatures.FindingsFrom the study, it is clear that basalt fibres can be used to reinforce mortar as the fibres remain unaffected up to 500 °C. Minimal increases in flexural strengths and compressive strengths were measured with the addition of basalt fibres at both ambient and elevated temperatures. SEM pictures revealed fibre matrix interaction/degradation at different temperatures.Originality/valueThe current study shows the potential of basalt fibre addition in mortar as a reinforcement mechanism at elevated temperatures and provides experimental quantifiable mechanical performances of different fibre percentage addition.
Resistance of facial recognition payment service: a mixed method approach
Authors: Lee Crystal T. , Pan Ling-Yen 
Published: August 2022

Purpose
Sellers view facial recognition mobile payment services (FRMPS) as a convenient and cost-saving way to receive immediate payments from customers. For consumers, however, these biometric identification technologies raise issues of usability as well as privacy, so FRMPS are not always preferable. This study uses the stressor–strain–outcome (S–S–O) framework to illuminate the underlying mechanism of FRMPS resistance, thereby addressing the paucity of research on users' negative attitudes toward FRMPS.

Design/methodology/approach
Drawing from the stressor–strain–outcome (S–S–O) framework, the purpose of this study is to illuminate the underlying mechanism of FRMPS resistance. To this end, they invited 566 password authentication users who had refused to use FRMPS to complete online survey questionnaires.

Findings
The findings enrich the understanding of FRMPS resistance and show that stressors (i.e. system feature overload, information overload, technological uncertainty, privacy concern and perceived risk) aggravate the strain (i.e. technostress), which then leads to users’ resistance behaviors and negative word of mouth.

Originality/value
Advances in payment methods have profoundly changed consumers’ consumption and payment habits. Understanding FRMPS resistance can provide marketers with strategies for dealing with this negative impact. This study theoretically confirms the S–S–O paradigm in the FRMPS setting and advances it by proposing thorough explanations of the major stressors that consumers face. Building on their findings, the authors suggest ways service providers can eliminate the stressors, thereby reducing consumers’ fear and preventing resistance or negative word-of-mouth behaviors. This study has valuable implications for both scholars and practitioners.