bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determining the stationary barriers to the implementation of radio frequency identification (RFID) technology in an emerging construction industry
Authors: Oke Ayodeji Emmanuel , Kineber Ahmed Farouk , Akindele Oluwaseun , Ekundayo Damilola 
Published: March 2023

Purpose
To realize full benefits without sacrificing the practicality of such projects, the decision-making process for residential building construction needs to include sustainability principles at every level. Therefore, this paper aims to investigate the applicability of radio frequency identification (RFID) and identify the barriers that impede its successful adoption in construction projects to achieve sustainability.

Design/methodology/approach
This paper opted for a quantitative approach by using a structured questionnaire survey. A total of 107 responses were collected from Nigerian construction practitioners involved in private and public construction businesses.

Findings
The results showed the high cost of RFID implementation, with a mean score of 4.42 as the top-ranked barrier, followed by lack of security, maintenance, power availability and inadequate training. This study further deployed Ginni’s mean difference measure of dispersion and revealed that the stationary barrier to adopting RFID technology is the lack of demand.

Practical implications
The findings of this research can assist decision-makers in improving the sustainability of all building projects by implementing RFID.

Originality/value
The findings of this study will serve as the basis for comprehension and critically evaluate the numerous barriers preventing the widespread adoption of RFID technology.
An exploratory study that uses textual analysis to examine the financial reporting sentiments during the COVID-19 pandemic
Authors: Non Normawati , Ab Aziz Norazlin 
Published: March 2023

Purpose
This paper aims to examine if Malaysian public listed companies have expressed any specific sentiment(s) when publishing their financial performance during the COVID-19 pandemic.

Design/methodology/approach
The disclosed sentiments contained in the management discussion and analysis section of the companies’ annual reports were extracted by means of computer-automated textual analysis through the linguistic inquiry and word counts and the Loughran–McDonald Financial Sentiment Dictionary. Next, a correlation analysis was conducted. Finally, a qualitative content analysis (QCA) was conducted to confirm these sentiments.

Findings
The analysis shows that companies adopted various tones of sentiments when communicating with their stakeholders. Most companies used negative sentiments to voice their concerns about how the COVID-19 pandemic has impacted upon their business operations. Only a few companies reflected positive sentiments, whilst those that experienced operating losses also expressed uncertainty.

Research limitations/implications
This study may assist either the regulators or accounting bodies to introduce a reporting framework that public companies can adopt during natural hazards. It also provides useful insights to (potential) investors to enable them to better understand the business landscape. For future research, the same study could be conducted on more countries so that their experiences can be used to better understand the business phenomenon from a global perspective.

Originality/value
This study is one of few studies to adopt automated textual analysis and QCA to examine the exhibited sentiments when public companies reported their financial performance during the COVID-19 pandemic.
Role of recommendation sizes and travel involvement in evaluating travel destination recommendation services: comparison between artificial intelligence and travel experts
Authors: Jang Wonseok (Eric) , Kim Soojin , Chun Jung Won , Jung A-Reum , Kim Hany 
Published: March 2023

Purpose
This study aims to understand how travelers evaluate travel destination recommendations received from either artificial intelligence (AI) or human travel experts (TEs) based on the size of recommendation and their travel involvement.

Design/methodology/approach
This study used a 2 (agent type: AI vs TE) × 2 (size of recommendation: small vs large) × 2 (travel involvement: low vs high) between-subjects design.

Findings
When AI recommends destinations, less-involved travelers perceive the recommendations as more credible and trust the system when AI offers larger recommendations than smaller ones. Meanwhile, when TEs offer recommendations, travelers consider the recommendations as equally credible and similarly trust the system, regardless of the recommendation size and travel involvement.

Originality/value
This study sheds light on the design of human-centered AI travel destination recommendation services.
Knowing what you don’t know: a tertiary study on knowledge management
Authors: Cerchione Roberto , Centobelli Piera , Oropallo Eugenio , Magni Domitilla , Borin Elena 
Published: March 2023

Purpose
This paper aims to conduct a tertiary review to analyse the state of the art of literature reviews on knowledge management (KM) published in academic journals and provide an overview of their evolution. From 2000 to 2022, about 500 reviews have been published in the KM field, with most systematic studies compared to bibliometric or meta-analytic studies, and an absence of previous tertiary studies. Therefore, given the lack of previous tertiary research, this paper provides a complete picture of the evolution of review topics in the past and presents implications for both researchers and practitioners.

Design/methodology/approach
A classification scheme was defined to cluster and evaluate the literature reviews, both in terms of methodological approach and content. Regarding the content, the various secondary papers were classified according to the purpose of the research (state of the art, taxonomy, research agenda and research framework), the unit of analysis (small and medium enterprise, large company, start-up and university), the KM models adopted and the thematic areas addressed. Furthermore, a tertiary review methodology was identified integrating two main approaches: a bibliometric approach for cluster identification and a systematic approach for the discussion.

Findings
Two categories of contributions emerge from the results: those concerning research topics that have found a continuous interest over time and those that have not yet found a constant research interest. This latter aspect is relevant to help researchers conduct future literature analysis in KM research to bridge existing research gaps.

Research limitations/implications
This paper provides a unique compendium of search directions to offer a comprehensive overview of the scientific debate about KM. This overview can also be used as a managerial panacea to identify best KM practice guidelines from existing reviews.

Originality/value
This is a unique attempt to conduct a tertiary study on KM for more than two decades by providing insights into the structural body of knowledge through academic progress in the subject of KM. Thus, this study expands the field of KM and provides original approaches for research in the field.
Behavioural intentions through virtual reality from a destination image perspective
Authors: Jorge Filipa , Losada Nieves , Teixeira Mário-Sérgio 
Published: March 2023

Purpose
This study aims to investigate potential tourists’ behaviour regarding visiting and recommending a destination based on an image derived from a virtual reality (VR) model, including motivations for travel and place attachment.

Design/methodology/approach
The study had two phases and used both qualitative and quantitative methodological approaches. The qualitative approach consisted of a focus group conducted to obtain the most important attributes of the destination image. The quantitative approach, which consisted of a self-administered questionnaire, was distributed to all the participants following a VR experience to provide data to empirically test the hypotheses proposed in the conceptual model.

Findings
Motivations for travel positively influence the image of a destination in both its cognitive and affective dimensions. Also, the cognitive dimension of destination image influences affective dimension of destination image and both dimensions affect overall destination image. Moreover, destination image, cognitive dimension and affective dimensions influence place dependence and identity. In turn, place dependence and place identity positively influence intention to visit the destination, but not intention to recommend it. Finally, intention to recommend the destination is positively influenced by the intention to visit the destination.

Research limitations/implications
Due to the complexity of the overall experience, the sample was selected purposefully, and all participants belong to Generation Z. Extending this study to other generations would also be valuable.

Originality/value
Although the utility of VR for tourism marketing purposes has been one of the most researched areas during recent years, factors that could encourage tourists to visit destinations previously displayed in VR are not yet identified.
An approach to targeted promotion of HPV vaccination based on parental preferences for social media content
Authors: Sommariva Silvia , Beckstead Jason , Khaliq Mahmooda , Daley Ellen , Martinez Tyson Dinorah 
Published: March 2023

Purpose
Effectiveness of message tactics in social marketing projects often varies across groups of individuals, which suggests the importance of tailoring communication approaches to maximize the success of promotional strategies. This study aims to contribute in this direction by using an innovative approach to promote targeted human papillomavirus vaccination, applying conjoint analysis to understand parental preferences for social media content features.

Design/methodology/approach
An online purpose-built quantitative survey was administered to a group of parents meeting eligibility criteria. The survey questions were designed based on inputs from formative qualitative research conducted in a previous phase of the study.

Findings
In the overall sample of 285 parents, responses show that image was the most important feature of social media posts overall, followed by source and text. Cluster analysis identified eight segments in the sample based on parental preferences for content features. Significant differences across segments were identified in terms of need for cognition, vaccine hesitancy, parental gender, concerns around side effects, trust in medical providers, information sharing behaviors on social media and information seeking online.

Originality/value
The application of conjoint analysis to promotional content allows to assess which features of the content are most important in persuading different individuals and provide insights on how people process the information, ultimately to inform targeted promotion based on preferences. Conjoint analysis has been widely used in consumer research to explore audience preferences for products or services, but only a few applications of conjoint analysis to the design and testing of promotional content are found in the literature.
Higher education research performance parameters classified by systems theory: antecedents for the development of assessment models
Authors: Hermanu Adhi Indra , Sari Diana , Sondari Mery Citra , Dimyati Muhammad 
Published: March 2023

Purpose
This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels.

Design/methodology/approach
The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used.

Findings
The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters.

Originality/value
One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.
Properties of Cu/Zn+15%SAC0307+15%Cu/Al joints by different ultrasonic-assisted degrees
Authors: Huang Tian , Gan Guisheng , Liu Cong , Ma Peng , Ma Yongchong , Tang Zheng , Cheng Dayong , Liu Xin , Tian Kun 
Published: March 2023

Purpose
This paper aims to investigate the effects of different ultrasonic-assisted loading degrees on the microstructure, mechanical properties and the fracture morphology of Cu/Zn+15%SAC0307+15%Cu/Al solder joints.

Design/methodology/approach
A new method in which 45 μm Zn particles were mixed with 15% 500 nm Cu particles and 15% 500 nm SAC0307 particles as solders (SACZ) and five different ultrasonic loading degrees were applied for realizing the soldering between Cu and Al at 240 °C and 8 MPa. Then, SEM was used to observe and analyze the soldering seam, interface microstructure and fracture morphology; the structural composition was determined by EDS; the phase of the soldering seam was characterized by XRD; and a PTR-1102 bonding tester was adopted to test the average shear strength.

Findings
The results manifest that Al–Zn solid solution is formed on the Al side of the Cu/SACZ/Al joints, while the interface IMC (Cu5Zn8) is formed on the Cu side of the Cu/SACZ/Al joints. When single ultrasonic was used in soldering, the interface IMC (Cu5Zn8) gradually thickens with the increase of ultrasonic degree. It is observed that the proportion of Zn or ZnO areas in solders decreases, and the proportion of Cu–Zn compound areas increases with the variation of ultrasonic degree. The maximum shear strength of joint reaches 46.01 MPa when the dual ultrasonic degree is 60°. The fracture position of the joint gradually shifts from the Al side interface to the solders and then to the Cu side interface.

Originality/value
The mechanism of ultrasonic action on micro-nanoparticles is further studied. By using different ultrasonic loading degrees to realize Cu/Al soldering, it is believed that the understandings gained in this study may offer some new insights for the development of low-temperature soldering methodology for heterogeneous materials.
A chemosensitive based ammonia gas sensor with PANI/PEO- ZnO nanofiber composites sensing layer
Authors: Konuk Ege Gözde , Akay Özge , Yüce Hüseyin 
Published: March 2023

Purpose
The purpose of this study is to investigate the ammonia sensing performance of polyaniline/polyethylene oxide (PANI/PEO) and polyaniline/polyethylene oxide/zinc oxide (PANI/PEO-ZnO) composite nanofibers at room temperature.

Design/methodology/approach
Gas sensor structures were fabricated using micro-fabrication techniques. First, onto the SiO2 wafer, gold electrodes were fabricated via thermal evaporation. PANI/PEO nanofibers were produced by the electrospinning method and the ZnO layer was deposited by RF magnetron sputtering on the electrospun nanofibers as a sensing layer. Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) were performed for characterization analysis of nanofibers. After all, gas sensing analysis of PANI/PEO and PANI/PEO/ZnO nanofibers was performed using an experimental setup at room temperature conditions.

Findings
FTIR analysis confirms the presence of functional groups of PANI, PEO and ZnO in nanofiber structure. SEM images demonstrate beads-free, thinner and smooth nanofibers with ZnO contribution to electrospun PANI/PEO nanofibers. Moreover, according to the gas sensing results, the PANI/PEO nanofibers exhibit 115 and 457 s response time and recovery time, respectively. However, the PANI/PEO/ZnO nanofibers exhibit 245 and 153 s response time and recovery time, respectively.

Originality/value
In this study, ZnO was deposited via RF magnetron sputtering techniques on PANI/PEO nanofibers as a different approach instead of in situ polymerization, to investigate and enhance the sensor response and recovery time of the PANI/PEO/ZnO and PANI/PEO composite nanofibers to ammonia. These results indicated that ZnO can enhance the sensing properties of conductive polymer based resistive sensors.
Lessons from the COVID-19 pandemic: strategies and challenges for an aging society in Japan
Authors: Hasegawa Tomonori , Hirata Koki , Matsumoto Kunichika 
Published: March 2023

PurposeThis article analyzes the challenges of infectious disease control under a super-aged society through Japan’s experience with COVID-19.Design/methodology/approachThis article provides an overview of Japan’s COVID-19 measures and their characteristics, discusses their successes and failures, and identifies future challenges.FindingsJapan’s basic strategy for COVID-19 consists of three parts: the border defense (Stage 1), slowing down the spread (Stage 2), and damage control (Stage 3). One key policy feature in Stage 2 and Stage 3 is based on “voluntary restriction”. It had a certain effect, but it was prolonged with each recurring “wave of infection”, resulting in economic exhaustion and people’s dissatisfaction. Thus, the effect of the voluntary restriction has weakened, while the percentage of people who have been vaccinated is improving, making it difficult to predict the damage of the next “wave”. Under the hyper-aged society, it was necessary to identify and protect particularly vulnerable areas, i.e., psychiatry hospitals, chronic care hospitals, and long term care (LTC) facilities. On the other hand, secondary impacts extend to young people. The most serious one is the decrease in births which further accelerates the aging of society.Originality/valueThis study is original as it investigated why Japan’s unique countermeasures against COVID-19 without mandatory lockdown worked well for a considerable period. It also revealed that secondary impacts of the COVID-19 epidemic are broader and more significant than the direct loss of life, and that the social system, especially super-aged society with many vulnerable areas should be reformed in consideration of the threat of infectious diseases. Lessons from the Japanese case may contribute to other countries.
Does financial statement readability alleviate the informational disadvantage of foreign investors?
Authors: Arora Somya , Chauhan Yogesh 
Published: March 2023

Purpose
This paper aims to explore whether financial statement readability overcomes the information disadvantage of foreign equity investors.

Design/methodology/approach
A comprehensive data set of Indian firms listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) for 2007–2019 has been used to evaluate the proposed research questions. This study uses the Panel data method to investigate the research question.

Findings
The results reveal that readable financial statements attract foreign investments. The readability benefits are more noticeable for firms operating in less competitive industries and having poor earnings quality.

Originality/value
This study suggests that foreign investors facing informational disadvantages prefer firms with better readability as a substitute for informational acquisition, processing and monitoring.
Telework during the Covid-19 pandemic and the work-nonwork conflict
Authors: Custodia de Oliveira Erica 
Published: March 2023

PurposeThis study aims to analyze the relationship between telework and teleworkers’ characteristics and the work-nonwork conflict (WNWC) in the Brazilian context, investigating time spent in eight nonwork dimensions and the more affected dimensions.Design/methodology/approachThe study was quantitative and descriptive. A survey was conducted with 299 professionals’ teleworking in Brazil. Data analysis was conducted through descriptive statistics, Pearson’s correlation and analysis of variance.FindingsResults show diversified interests other than work and family among teleworkers, variation within the affected nonwork dimensions in the WNWC, and that teleworkers’ WNWC is negatively associated with time flexibility and manager support and positively associated with individual preference for segmentation as a boundary management strategy.Research limitations/implicationsThe study highlights the need to include more nonwork aspects in telework studies to influence organizational practices. The main limitation is the nonprobabilistic sample.Practical implicationsKnowing more about teleworkers’ WNWC will help organizations improve lives by implementing practices and building a cultural environment that preserves nonwork time.Social implicationsThe study reinforces demands from new family arrangements and an aging society: organizations have to prepare to have teleworkers who want or need to dedicate time to interests besides family or children.Originality/valueIt progresses towards a broad understanding of nonwork besides family to understand teleworkers’ WNWC.
Using HR automation to attract stronger construction candidates and simplify remote onboarding challenges
Authors: Said Jenn 
Published: March 2023

Purpose
This case study aims to explore how human resource (HR) automation was used to attract stronger construction candidates and simplify remote onboarding, with ASRC Construction Group in northern Alaska specifically highlighted.

Design/methodology/approach
This is a real-world case study that examined ASRC Construction Group’s use of HR automation technology.

Findings
ASRC Construction Group was able to automate its HR processes, which helped the company easily scale staff up and down based on project demands. This was especially useful during peak season when the company hires and terms 50–100 employees a week. In the past, processing that many hires required as many as four people working 10 or 12 h a day. Now it only takes one dedicated manager with a shared recruiting team and is a much easier process, particularly with rehires.

Originality/value
This is a unique case study that explores how HR automation worked in remote Alaska.
Shared leadership and team performance in health care: how intellectual capital and team learning intervene in this relationship
Authors: Shoukat Muhammad Haroon , Shah Syed Asim , Muneeb Dilnaz 
Published: March 2023

Purpose
This study aims to examine the role of shared leadership (SL) practices in improving team performance (TP) in health-care producer organizations by mediating the roles of intellectual capital (IC) and team learning (TL).

Design/methodology/approach
Conceptual model was proposed using social learning theory and resource-based view theory. The structured questionnaire was administered to respondents of Pakistani health-care producer organizations using a cross-sectional approach. Data was collected from 23 team leaders and 203 team members from 23 different teams. PLS-structural equation modeling was applied to SmartPLS 3.2.9.

Findings
The findings revealed that SL and IC are positively associated with TP, while TL has no association with TP. Further, SL is positively associated with IC and TL. This study also found that IC significantly mediates between SL and TP. Still, no mediating role of TL between SL and TP was found.

Practical implications
The findings suggest health-care producer organizations adopt shared leader practices where team members are given a say in decision-making to boost their morale, leading to effective TP.

Originality/value
The conceptual model was created using social learning and resource-based view theories. This is an early attempt to examine the role of SL in health-care producer organizations.