bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conjugates for use in peptide therapeutics: a systematic review and meta-analysis
Authors: Wijesinghe Ashan , Kumari Sarika , Booth Valerie 
Published: August 2021

AbstractWhile peptides can be excellent therapeutics for several conditions, their limited in vivo half-lives have been a major bottleneck in the development of therapeutic peptides. Conjugating the peptide to an inert chemical moiety is a strategy that has repeatedly proven to be successful in extending the half-life of some therapeutics. This systematic review and meta-analysis was conducted to examine the available literature and assess it in an unbiased manner to determine which conjugates, both biological and synthetic, provide the greatest increase in therapeutic peptide half-life. Systematic searches run on PubMed, Scopus and SciFinder databases resulted in 845 studies pertaining to the topic, 16 of these were included in this review after assessment against pre-specified inclusion criteria registered on PROSPERO (#CRD42020222579). The most common reasons for exclusion were non-IV administration and large peptide size. Of the 16 studies that were included, a diverse suite of conjugates that increased half-life from 0.1 h to 33.57 h was identified. Amongst these peptides, the largest increase in half-life was seen when conjugated with glycosaminoglycans. A meta-analysis of studies that contained fatty acid conjugates indicated that acylation contributed to a statistically significant extension of half-life. Additionally, another meta-analysis followed by a sensitivity analysis suggested that conjugation with specifically engineered recombinant peptides might contribute to a more efficient extension of peptide half-life as compared to PEGylation. Moreover, we confirmed that while polyethylene glycol is a good synthetic conjugate, its chain length likely has an impact on its effectiveness in extending half-life. Furthermore, we found that most animal studies do not include as much detail when reporting findings as compared to human studies. Inclusion of additional experimental detail on aspects such as independent assessment and randomization may be an easily accomplished strategy to drive more conjugated peptides towards clinical studies.
Does institutional fragility affect innovation investment?
Authors: Li Xinli , Cheng Jun , Wan Shouyi , Zhao Zhenyang 
Published: August 2021

Purpose
This study aims to investigate the impact of institutional fragility on the innovation investments of enterprises by analyzing the moderating effect of government subsidies and the integration of industry and finance.

Design/methodology/approach
Multiple regression analysis was used on 10,838 samples of 2,356 listed companies in China for the period 2007–2017, to empirically test the influence of institutional fragility on innovation investment. Moreover, Heckman’s two-stage approach was used for the robustness of the regression results.

Findings
The results show that the relationship between institutional fragility and innovation investment is an inverted U-shaped; government subsidies negatively moderate the relationship between institutional fragility and innovation investment, while the integration of industry and finance positively moderates them. Further analysis shows that the relationship between institutional fragility and innovation investment is more significant for high-tech enterprises. Similarly, the relationship between institutional fragility and innovation output also presents an inverted U-shape, which mainly affects enterprises’ breakthrough innovation output, but has no substantial impact on the incremental innovation output.

Originality/value
The conclusions provide new ideas for guiding the government’s reform, promoting the integration of industry and finance and promoting enterprise innovation.
Bibliometric analysis and critical review of the research on big data in the construction industry
Authors: Lu Yusheng , Zhang Jiantong 
Published: August 2021

PurposeThe digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.Design/methodology/approachThis study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.FindingsThe number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.Research limitations/implicationsThe study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.Practical implicationsNational policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.Originality/valueTo our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.
Risk response incorporating risk preferences in international construction projects
Authors: Yan Peng , Liu Junying , Zhao Xianbo , Skitmore Martin 
Published: August 2021

PurposeThe objective of this research is to develop a decision method that can generate appropriate risk response strategies for international construction project managers (PMs) and allow these strategies to reflect their different risk preferences.Design/methodology/approachThe optimal model approach is adopted. A credibility-based fuzzy chance constrained programming (CFCCP) model is developed, which simultaneously minimizes the expected losses of risk events and total costs of risk response. To solve this multi-objective model, a fuzzy interactive solution method is used. Moreover, the model performance is demonstrated by a real international industrial plant project. In addition, a sensitivity analysis of the model is conducted.FindingsThe result of the sensitivity analysis indicates that PMs with a greater risk aversion can lead to a higher mitigation ratio of expected losses of risk events and a higher total cost of risk response.Practical implicationsThis research provides contractors with an effective decision-making model to develop a project risk response plan, and it will assist contractors to minimize risk losses and enhance the project performance in the international construction market.Originality/valuePrevious studies overlook the risk preference, which is an important behavioral factor influencing decisions in risk response strategy selection. This research proposed a novel risk response strategy selection decision method that considers different attitudes toward risk among decision makers.
The impact of general data protection regulation on software engineering practices
Authors: Leite Luís , dos Santos Daniel Rodrigues , Almeida Fernando 
Published: August 2021

Purpose
This paper aims to explore the changes imposed by the general data protection regulation (GDPR) on software engineering practices. The fundamental objective is to have a perception of the practices and phases that have experienced the greatest changes. Additionally, it aims to identify a set of good practices that can be adopted by software engineering companies.

Design/methodology/approach
This study uses a qualitative methodology through four case studies involving Portuguese software engineering companies. Two of these companies are small and medium enterprises (SMEs) while the other remaining two are micro-companies. The thematic analysis is adopted to identify patterns in the performed interviews.

Findings
The findings indicate that significant changes have occurred at all stages of software development. In particular, the initial stages of identifying requirements and modeling processes were the stages that experienced the greatest changes. On the opposite, the technical development phase has not noticeably changed but, nevertheless, it is necessary to look at the importance of training software developers for GDPR rules and practices.

Research limitations/implications
Two relevant limitations were identified as follows: only four case studies involving micro-companies and SMEs were considered, and only the traditional software development methodology was considered. The use of agile methodologies was not explored in this study and the findings can only be mainly applied to the waterfall model.

Originality/value
This study offers mainly practical contributions by identifying a set of challenges that are posed to software engineering companies by the implementation of GDPR. Through their knowledge, it is expected to help these companies to better prepare themselves and anticipate the challenges they will necessarily face.
A wearable technology solution and research agenda for housekeeper safety and health
Authors: Mejia Cynthia , Ciarlante Katherine , Chheda Kinjal 
Published: August 2021

Purpose
Adopting an interdisciplinary perspective, the purpose of this paper was to posit an industry-wide technological intervention for hotel housekeeper safety and health through the advancement of wearable technology.

Design/methodology/approach
Using the task-technology fit (TTF) model and examples of successful safety and health applications of wearable technologies in the health-care and construction management industries, interventions and future research directions are presented to address workplace hazards experienced by hotel housekeepers.

Findings
The fit between a variety of hotel housekeeper user requirements, task demands and wearable functions are explored with justification for the use of wearable devices to improve safety and health-related outcomes.

Research limitations/implications
A research agenda is proposed for the adoption and use of wearables in the hospitality industry with the intention to generate meaningful interventions beyond corporate wellness, and the mitigation of employee privacy concerns to enhance wearable adoption.

Practical implications
Given the importance of consumer safety and health assurance in a post-pandemic business environment, hospitality and tourism organizations should place greater emphasis on protecting front line employees who will be essential in regaining economic viability.

Social implications
Theoretical and practical foci should move beyond a simplistic view of hospitality and tourism worker safety and health that generally centers on wellness initiatives and other baseline strategies, toward a more holistic view benefitting the hospitality industry.

Originality/value
Extant concerns about hotel housekeeper safety and health, in addition to new concerns and threats in a post-pandemic work environment, are largely understudied and worthy of investigation.
Employee perceptions of hotel CSR activities during the COVID-19 pandemic
Authors: Choi Miju , Choi Youngjoon 
Published: August 2021

Purpose
This study aims to adopt Carroll’s corporate social responsibility (CSR) pyramid framework as a theoretical lens for examining employee perspectives on South Korean hotels operating as quarantine facilities during the COVID-19 pandemic.

Design/methodology/approach
The study adopted a qualitative approach consisting of the following components: in-depth interviews with employees and stakeholders of quarantine hotels, including frontline staff, government officials and medical staff, field observations and data from one researcher’s direct experience in a quarantined hotel.

Findings
Six themes regarding the experience of operating quarantine hotels emerged from the in-depth interviews and field observations. The findings also showed an interplay between the hotel employees’ perspectives, the four components of the CSR pyramid and the benefits and costs to hotels operating as quarantine facilities.

Research limitations/implications
This study focusses on the particular case of quarantine hotels in South Korea, and therefore caution is required in generalising the findings.

Practical implications
The findings suggest that strategic partnerships can help to protect local communities whilst alleviating the hotel industry’s financial difficulties. They also explore an opportunity for business revitalisation in the midst of a global pandemic.

Originality/value
This study finds that the voluntary decision of hotels to operate as coronavirus quarantine facilities is aligned with CSR because its ultimate aim is to protect the community from the risk of coronavirus from overseas arrivals. This study broadens the CSR literature in the fields of COVID-19 and hospitality.
Unleashing analytics to reduce electricity consumption using incremental clustering algorithm
Authors: Chaudhari Archana Yashodip , Mulay Preeti 
Published: August 2021

Purpose
To reduce the electricity consumption in our homes, a first step is to make the user aware of it. Reading a meter once in a month is not enough, instead, it requires real-time meter reading. Smart electricity meter (SEM) is capable of providing a quick and exact meter reading in real-time at regular time intervals. SEM generates a considerable amount of household electricity consumption data in an incremental manner. However, such data has embedded load patterns and hidden information to extract and learn consumer behavior. The extracted load patterns from data clustering should be updated because consumer behaviors may be changed over time. The purpose of this study is to update the new clustering results based on the old data rather than to re-cluster all of the data from scratch.

Design/methodology/approach
This paper proposes an incremental clustering with nearness factor (ICNF) algorithm to update load patterns without overall daily load curve clustering.

Findings
Extensive experiments are implemented on real-world SEM data of Irish Social Science Data Archive (Ireland) data set. The results are evaluated by both accuracy measures and clustering validity indices, which indicate that proposed method is useful for using the enormous amount of smart meter data to understand customers’ electricity consumption behaviors.

Originality/value
ICNF can provide an efficient response for electricity consumption patterns analysis to end consumers via SEMs.
A holistic framework for patient experience: 5P model
Authors: Ozcelik Ayse Bengi , Varnali Kaan , Burnaz Sebnem 
Published: August 2021

Purpose
Hospitals have become competitive organizations striving to serve the needs of empowered consumers seeking positive experiences. As a result, the patient experience turns into a critical driver of performance for hospitals. Accordingly, the question “what are the critical dimensions for creating a well-designed patient experience?” has been drawing increasing attention from the industry and academia alike. This paper aims to contribute to the understanding of patient experience by using multiple source data obtained from experts and patients.

Design/methodology/approach
This study uses a qualitative research approach to examine the perspectives of both health-care experts and patients about the experience. A semi-structured interview series is conducted with health-care professionals, academicians, researchers, physicians and patients.

Findings
The results suggest a novel framework for the patient experience including five critical dimensions as follows: provider, physician, patient, personnel and periphery. This framework, 5Ps of patient experience, provides a holistic picture, which integrates the perspectives of patients, health-care providers and experts including scholars and researchers.

Practical implications
The 5P framework can be used by health-care professionals to better understand the driving factors of patient experience and to create a strategy to improve patient satisfaction.

Originality/value
To the best of the authors’ knowledge, the present study is the first qualitative study, which provides a holistic approach to patient experience independent from the branch and considers the perspectives of both health-care experts and patients.
Determinants of coaching success: a systematic review
Authors: Cidral Wilmar , Berg Carlos Henrique , Paulino Maria Lúcia 
Published: August 2021

PurposeThe major contribution of this paper is to propose a theoretical framework to coachee success and to identify the most relevant resources for coachee success.Design/methodology/approachThis article attempts to determine the constructs of coaching success through a systematic literature review. The review identified 1,048,880 papers. From these, the authors selected 39 articles for the research. From these articles, the main elements of coaching success were identified.FindingsThe main elements of coaching success are coach quality, coachee engagement, coaching process, coaching reflection, behaviors resulting from coaching and coachee success. Coach quality, coaching process and coachee are often considered as key variables to success. Coachee's behavior is linked to performance but approaches to effectful coaching vary.Practical implicationsCoachee success is connected with the coach's emotional skills and the formality process. Success requires communication, interpersonal relationship, planning, goal setting and progress monitoring. An interplay between the coach and the coachee's emotional skills and the formality process enables success. In business, where employees usually work in their chosen profession, coaching is a tool for education and improvement that brings positive results to the organization.Social implicationsOn a personal level, it can lead to greater self-knowledge and to improvement in the quality of life. Coaching as a facilitator of the coachee's success must be more than a process in itself. It is a way of allowing the coachee to make a critical contribution in a broader context to an organizational culture that values human capital.Originality/valueIt contributes to the understanding of the mechanisms that lead to success in coaching. This systematic review adds to the few articles found on coachee success from over a million papers analyzed. It offers a proposed theoretical framework to coachee success, through a holistic approach.
Determinants of transportation sustainability in universities of Islamabad, Pakistan
Authors: Baig Muhammad Hamza , Waheed Abdul , Rana Irfan Ahmad , Abbas Kulsoom 
Published: August 2021

Purpose
The purpose of this paper is to identify the barriers halting the usage of sustainable modes of transportation in a university campus.

Design/methodology/approach
Two large-scale universities, namely, Quaid-i-Azam University and the National University of Sciences and Technology, in Islamabad have been taken as case studies with a sample population of 421. The questionnaire data, comprising 30 different barriers, were analysed by principal component analysis and mean value method.

Findings
The findings indicate that safety and infrastructural factors are the most influential ones affecting sustainable mobility within the campus. The provision of user-friendly and safe infrastructure and more frequent shuttle buses are recommended to promote the culture of sustainable transportation.

Research limitations/implications
Inclusion of other large-scale universities of the country might give more generalized results. The sustainability of other areas associating with transportation can also be evaluated to explore other unfamiliar dimensions.

Practical implications
The outcome of this research expects to highlight important policy recommendations for the promotion of sustainable mobility inside the campus and also serves as a guiding principle for campus developers and policymakers for planning new campuses in other parts of the country.

Originality/value
This research can be considered as a starting point for achieving sustainability in the universities of Pakistan. The same research methodology can be opted in other campuses with the possibility of the addition of other related factors with different statistical analysis techniques as well.
Potential for social entrepreneurship in tourism in the city of Chennai
Authors: Vinodan A. , Meera S. 
Published: August 2021

Purpose
Tamil Nadu, the southern provincial state of India attracts the highest number of domestic as well as international tourist to India. Chennai, the capital city of Tamil Nadu is the much sought-after destination for tourists and attracts a large number of visitors. Considering the transformational role of tourism with its focus on community-in-need, tourism can usher opportunities for both not-for-profit and for-profit social entrepreneurship (SE). At this juncture, the number of poor people in the city is relevant, which is almost 40% of the population seeking livelihood opportunities. SE operating for-profit model is often construed sustainable and appropriate in the context of tourism. Considering the relevance of such innovative actional approaches, this study aims to explore the potential of for-profit SE in the the city of Chennai.

Design/methodology/approach
The study adopted the exploratory sequential method. The social drivers and challenges of SE in Chennai were explored through expert in-depth interview and the dimensions of challenges were explored through factor analysis.

Findings
The study result indicates that the social drivers of SE in tourism can be broadly classified into concurrent social drivers and latent social drivers, which encompass the potential for social bricoleur, social constructionist and social engineer typologies. There are five dimensions for the challenges for institutionalizing tourism-based SE in the city of Chennai i.e. community concerned, industry specific, sustainability centric, governance oriented and collaboration centered. The study concluded with future directions for the institutionalizing SE, creating social value and fostering community-level transformation in tune with sustainable development goals (SDGs) in tourist destinations of the city of Chennai.

Research limitations/implications
The study considered existing wage employees of various vendors in tourist destinations of the city with an assumption that these wage employees are interested in entrepreneurship possibility.

Practical implications
SE assumes relevance in the context of inclusive tourism and toward the attainment of SDGs through tourism, as an economic activity. The outcome of the study can be a catalyst to stimulate alternative business models for local development; persuading existing business enterprises to follow more responsible business practices in city destinations, thus promoting more pragmatic socio-economic outcomes to the underprivileged, through tourism.

Originality/value
Social drivers and challenges are unique in the context of tourism especially in the Indian context as there was no such attempt to consolidate these aspects as a move toward inclusive tourism by strengthening the grass-root level participation.