bluuebunny/crossref_metadata_2025_split huggingface dataset:
Active learning and instructor accessibility in online talent training: a field experiment in China during COVID-19
Authors: Wang Xingheng , Lin Weihan , Jiang Yan , Wu Yihua , Liu Yingyi , Zhou Wen-Qian 
Published: July 2021

Purpose
Drawing on self-determination theory (Deci and Ryan, 2012) and Hew’s (2016) five-factor model, our study aimed to investigate the impact of two online training design factors (instructor accessibility and active learning) on learner’s self-efficacy and learning outcome amid the COVID-19 pandemic.

Design/methodology/approach
A randomized pretest-posttest control group field experiment was designed to assess participants’ self-efficacy and learning outcome of an online training program - territory business management plan, under three conditions: instructor accessibility, active learning, and controlled. Participants (N=87) were medical sales representatives from a Fortune-Global 500 pharmaceutical company’s subsidiary office in China. Data was analyzed with 2 (time) x 3 (group) MANOVA with time (pretest and posttest) as a repeated measure to investigate differences in changes in self-efficacy and learning outcome between three groups.

Findings
Overall, participants’ self-efficacy and learning outcome were significantly improved via the online training program for all three groups. Specifically, the impact of the training on learning outcome was the strongest for the active learning group, less strong for the instructor accessibility group, and the least strong for the control group.

Originality/value
Our research contributes towards understandings of the effectiveness of online talent training programs by examining two critical instructional design factors during a time of crisis. Our findings suggest that active learning (interactions with the training materials by purposeful self-reflection) might be a stronger predictor for increasing learning outcome than instructor accessibility (receiving feedback and tutoring sessions from the instructor) for online training programs.
Towards an analysis of the transfer of training: empirical evidence from schools in Spain
Authors: Gil Alfonso J. , Mataveli Mara , Garcia-Alcaraz Jorge L. 
Published: July 2021

Purpose
The transfer of training has been identified with the effectiveness of training. The purpose of this work is to analyse the impact of training stages (training needs analysis, application and evaluation) as they relate to training transfer.

Design/methodology/approach
The study participants correspond to a sample of 116 teachers with managerial responsibilities (management teams and department heads) from 17 secondary schools in Spain. This work hypothesises five significant relationships: needs analysis and application of training, application and transfer of training, evaluation and analysis of training needs, evaluation and application of training and evaluation and transfer of training. The hypotheses were tested using structural equations, namely, the partial least squares–structural equation modelling technique and SmartPLS version 3.2.9.

Findings
The relationships between application and transfer of training, between evaluation of training and needs analysis, application and transfer of training are positively contrasted. The relationship between the analysis and application of training is not contrasted.

Originality/value
This work analyses the relationship between the training process’s different phases (analysis, application and evaluation) in the training output (training transfer) and emphasises the role of evaluation in the training process.
Dark tourism: motivations and visit intentions of tourists
Authors: Lewis Heather , Schrier Thomas , Xu Shuangyu 
Published: July 2021

PurposeThe overall purpose of this study is to utilize the Theory of Planned Behavior (TPB) in combination with four dark tourism constructs (dark experience, engaging entertainment, unique learning experience, and casual interest) to gain a better understanding of behaviors and intentions of tourists who have visited or plan to visit a dark tourism location.Design/methodology/approachA total of 1,068 useable questionnaires was collected via Qualtrics Panels for analysis purposes. Confirmatory Factor Analysis (CFA) was used to verify satisfactory reliability and validity regarding the measurement of model fit. With adequate model fit, structural equation modeling was employed to determine positive and negative relationships between TPB and dark tourism constructs. In all, 11 hypotheses statements were tested within this study.FindingsResults of this study indicate that tourists are curious, interested, and intrigued by dark experiences with paranormal activity, resulting in travel choices made for themselves based on personal beliefs and preferences, with minimal outside influence from others. It was determined that dark experience was the most influential of the dark tourism constructs tested in relationship to attitudes and subjective norm.Research limitations/implicationsThe data collected for this study were collected using Qualtrics Panels with self-reporting participants. The actual destination visited by survey participants was also not factored into the results of this research study.Originality/valueThis study provides a new theoretical research model that merges TPB and dark tourism constructs and established that there is a relationship between TPB constructs and dark tourism.
Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
Authors: Nayal Kirti , Raut Rakesh , Priyadarshinee Pragati , Narkhede Balkrishna Eknath , Kazancoglu Yigit , Narwane Vaibhav 
Published: July 2021

PurposeIn India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).Design/methodology/approachThis study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.FindingsThis study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.Originality/valueThis study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.
Legal document recommendation system: a dictionary based approach
Authors: Dhanani Jenish , Mehta Rupa , Rana Dipti P. 
Published: July 2021

Purpose
In the Indian judicial system, the court considers interpretations of similar previous judgments for the present case. An essential requirement of legal practitioners is to determine the most relevant judgments from an enormous amount of judgments for preparing supportive, beneficial and favorable arguments against the opponent. It urges a strong demand to develop a Legal Document Recommendation System (LDRS) to automate the process. In existing works, traditionally preprocessed judgment corpus is processed by Doc2Vec to learn semantically rich judgment embedding space (i.e. vector space). Here, vectors of semantically relevant judgments are in close proximity, as Doc2Vec can effectively capture semantic meanings. The enormous amount of judgments produces a huge noisy corpus and vocabulary which possesses a significant challenge: traditional preprocessing cannot fully eliminate noisy data from the corpus and due to this, the Doc2Vec demands huge memory and time to learn the judgment embedding. It also adversely affects the recommendation performance in terms of correctness. This paper aims to develop an effective and efficient LDRS to support civilians and the legal fraternity.

Design/methodology/approach
To overcome previously mentioned challenges, this research proposes the LDRS that uses the proposed Generalized English and Indian Legal Dictionary (GEILD) which keeps the corpus of relevant dictionary words only and discards noisy elements. Accordingly, the proposed LDRS significantly reduces the corpus size, which can potentially improve the space and time efficiency of Doc2Vec.

Findings
The experimental results confirm that the proposed LDRS with GEILD yield superior performance in terms of accuracy, F1-Score, MCC-Score, with significant improvement in the space and time efficiency.

Originality/value
The proposed LDRS uses the customized domain-specific preprocessing and novel legal dictionary (i.e. GEILD) to precisely recommend the relevant judgments. The proposed LDRS can be incorporated with online legal search repositories/engines to enrich their functionality.
Innovation process of micro, small and medium enterprises (MSMEs) in greater Jakarta area (perspective from foodpreneurs)
Authors: Candra Sevenpri , Wiratama I Nyoman Agus Dwi , Rahmadi Muhammad Airlangga , Cahyadi Vincent 
Published: July 2021

Purpose
Micro, small and medium enterprises (MSMEs) are a critical part of a country or region’s economy. They have contributed to more than half of Indonesia’s gross domestic product. However, MSMEs today are still getting problems and obstacles in the Indonesian industry. One of them is the lack of knowledge about entrepreneurship that hampers the development of a business and the emergence of innovation. This study aims to understand the innovation process and extend the knowledge regarding entrepreneurship in food and beverage MSMEs in Greater Jakarta Area.

Design/methodology/approach
This study is descriptive–associative research. It uses the online survey as a data collection method with a cross-sectional design. The sampling technique is purposive sampling with the criteria foodpreneurs from MSMEs in Greater Jakarta Area. The data are measured using Likert scale and analyzed using structural equation modeling-partial least squares.

Findings
The results suggest that centralized decision-making positively impacts collaboration, communication and contributes to innovation. Communication effects the entrepreneur's knowledge and collective entrepreneurship. In terms of collaboration, it affects entrepreneur's knowledge and collective entrepreneurship. Then, the entrepreneur's knowledge and collective entrepreneurship influence innovation.

Research limitations/implications
This research is only conducted using MSMEs of food and beverages in Greater Jakarta Area as the samples. Hence the results cannot be generalized. Different sectors may have different results.

Practical implications
A centralized decision can be done but limited in certain situations only. Then, foodpreneurs should collaborate and communicate more intensely with their employees. It will impact the harmonious collaboration and collective problem-solving to achieve creative solutions.

Originality/value
There is limited research focusing on foodpreneurs and the innovation process. So, this research results can add to the existing literature review.
“Honor thy father and thy mother”: the contribution of verbal concerns to the understanding of elderly patients’ satisfaction
Authors: Semyonov-Tal Keren 
Published: July 2021

Purpose
This study aims first, to provide a typology of complaints concerning the treatment of elderly patients in geriatric wards; second, to estimate reported satisfaction with treatment; and third, to assess the link between verbal concerns and satisfaction.

Design/methodology/approach
Using the “Survey of Geriatric Wards, 2019” a sample of 4,725 family members of patients, hospitalized in 99 geriatric wards in Israel were asked to rate their overall satisfaction with treatment; they also were asked to provide verbal information on the hospitalization experience through an open-ended question. A content analysis was applied to the verbal answers, to classify them into distinct qualitative categories; a regression analysis was applied to examine the impact of the concerns on the level of patient satisfaction, net of patient’s characteristics.

Findings
Level of satisfaction among family members is very high (8.16 on a scale from 1–10), with only very few expressing verbal concerns (2.3%). Content analysis reveals five reoccurring themes: physical violence (33.3%), verbal violence (19.2%), discrimination (21.2%), lack of dignified hospitalization conditions (8.1%) and communication (18.2%). Further analysis reveals that satisfaction among those who complained, especially about interpersonal relations, is considerably and significantly lower than others.

Originality/value
Despite high levels of satisfaction with medical care in geriatric wards, the findings underscore voiced complaints as major source for explaining dis-satisfaction with hospitalization. Complaints in the realm of interpersonal relations, especially regarding verbal violence, discrimination and communication, seem to be most consequential for lowering levels of satisfaction with treatment.
Online labor platforms versus temp agencies: what are the differences?
Authors: Meijerink Jeroen , Arets Martijn 
Published: July 2021

Purpose
The purpose of this paper is to compare online labor platforms (OLPs) such as Upwork, Fiverr, YoungOnes and Temper with traditional temp agencies. At a first glance, OLPs and temp agencies strongly resemble each other while they aim to meet the need for short-term labor of organizations. The authors ask the question how these labor market intermediaries differ on issues such as information technology usage, ways how labor supply and demand are matched and working conditions (e.g. status, pay and social security of workers).

Design/methodology/approach
Next to a review of the academic literature, the authors conducted interviews with representatives of six OLPs and temp agencies in the Netherlands as well as a legal specialist in Dutch labor law.

Findings
The authors found that OLPs and temp agencies differ on several issues. First, although OLPs rely on online marketplaces for matching labor supply and demand, temp agencies generally rely on human matchmakers. Second, although OLPs enable workers and client organizations to initiate transactions themselves, temp agencies employ representatives that do the matching for workers and clients. Third, and as a result, OLPs afford client organizations to almost instantly hire workers on-demand, whereas the flexibility and speed that temp agencies can offer depend on availability and processing capacity of human matchmakers.

Originality/value
According to the authors’ knowledge, this paper is the first to compare OLPs and temp agencies and, in doing so, offers academics and practitioners an analytical framework to compare different types of labor market intermediaries.
Consumer social responsibility (CnSR): antecedents and tool validation
Authors: Soni Mamta , Dawar Sunny , Soni Amit 
Published: July 2021

PurposeGlobal warming and drastic environment fluctuations have given rise to worldwide emergency, demanding to discover the most unexplored area in the field of social responsibility that is, consumer social responsibility (CnSR). This study aims to define the novel term “CnSR” and its antecedents to accomplish long-term sustainability. An in-depth analysis is executed to discover key antecedents, and proposed tool validation is implemented with the help of the big size of consumer population.Design/methodology/approachPrimary data are collated using consumer responses, and reliability statistics were analyzed implementing Cronbach's alpha, and factor analysis is performed for required validation.FindingsProbing existing research, CnSR was mostly correlated with consumers’ ethical and moral behavior. The present work proposes a unique tool which has successfully revealed a broader approach resulting in four vital antecedents: environmental orientation (EO), ethical and moral disposition (EMD), spiritual orientation (SO) and orientation toward shared consumption (OSC). Cronbach's alpha is adopted to determine internal consistency of the survey and has showed precision of 0.953 which affirms accuracy of the proposed tool.Research limitations/implicationsSplitting of EO using factor analysis into environmental oriented preference (EOP) and recyclable oriented preference (ROP) has indicated further required inputs for better understanding.Practical implicationsSustainable issues were limited to corporates in the form of corporate social responsibility (CSR) activities. Present work demands consumer awareness about their consumption consequences and fix their responsibility to achieve long-term sustainability.Originality/valueThe present study is the first to identify the antecedents of CnSR and effectively demonstrates a tool for the same.
Dissection of FixK2 protein–DNA interaction unveils new insights into Bradyrhizobium diazoefficiens lifestyles control
Authors: Cabrera Juan J. , Jiménez‐Leiva Andrea , Tomás‐Gallardo Laura , Parejo Sergio , Casado Sara , Torres María J. , Bedmar Eulogio J. , Delgado María J. , Mesa Socorro 
Published: July 2021

SummaryThe FixK2 protein plays a pivotal role in a complex regulatory network, which controls genes for microoxic, denitrifying, and symbiotic nitrogen‐fixing lifestyles in Bradyrhizobium diazoefficiens. Among the microoxic‐responsive FixK2‐activated genes are the fixNOQP operon, indispensable for respiration in symbiosis, and the nnrR regulatory gene needed for the nitric‐oxide dependent induction of the norCBQD genes encoding the denitrifying nitric oxide reductase. FixK2 is a CRP/FNR‐type transcription factor, which recognizes a 14 bp‐palindrome (FixK2 box) at the regulated promoters through three residues (L195, E196, and R200) within a C‐terminal helix‐turn‐helix motif. Here, we mapped the determinants for discriminatory FixK2‐mediated regulation. While R200 was essential for DNA binding and activity of FixK2, L195 was involved in protein–DNA complex stability. Mutation at positions 1, 3, or 11 in the genuine FixK2 box at the fixNOQP promoter impaired transcription activation by FixK2, which was residual when a second mutation affecting the box palindromy was introduced. The substitution of nucleotide 11 within the NnrR box at the norCBQD promoter allowed FixK2‐mediated activation in response to microoxia. Thus, position 11 within the FixK2/NnrR boxes constitutes a key element that changes FixK2 targets specificity, and consequently, it might modulate B. diazoefficiens lifestyle as nitrogen fixer or as denitrifier.
Characterization and identification of SFDC‐1, a novel AmpC‐type β‐lactamase in Serratia fonticola
Authors: Dong Xu , Zhang Peiyao , Zhou Kexin , Liang Jialei , Li Qiaoling , Zhang Xueya , Zhou Danying , Lu Wei , Sun Zhewei , Liu Hongmao , Lu Junwan , Lin Xi , Li Kewei , Xu Teng , Zhang Hailin , Zhu Mei , Bao Qiyu 
Published: July 2021

SummaryThe clinical and environmental infections caused by AmpC β‐lactamases have been increasingly reported recently. In this study, we characterize the novel chromosome‐encoded AmpC β‐lactamase SFDC‐1 identified in Serratia fonticola strain R28, which was isolated from a rabbit raised on a farm in southern China. SFDC‐1 shared the highest amino acid identity of 79.6% with the functionally characterized AmpC β‐lactamase gene blaYRC‐1, although it had highly homologous functionally uncharacterized relatives in the same species from different sources, including some of the clinical significance. The cloned blaSFDC‐1 exhibited resistance to a broad spectrum of β‐lactam antibiotics, including most cephalosporins with the highest resistance to ampicillin, cefazolin and ceftazidime, with increased MIC levels ≥128‐fold compared with the control strains. The purified SFDC‐1 showed catalytic activities against β‐lactams with the highest catalytic activity to cefazolin. The genetic context of blaSFDC‐1 and its relatives was conserved in the chromosome, and no mobile genetic elements were found surrounding them.
Between dogma and doubt: A meta‐synthesis of innovation in the public sector
Authors: Al‐Noaimi Hessa A. , Durugbo Christopher M. , Al‐Jayyousi Odeh R. 
Published: July 2021

AbstractPublic sector innovation is a management paradigm that introduces novel actions and artefacts in confronting societal challenges. However, the enabling or inhibiting role of innovation remains a conundrum that necessitates on‐going analysis and critique for advancing public management discourse and scholarship. The purpose of this article is to analyse the drivers and barriers to innovation in the public sector based on a meta‐synthesis of management literature. In‐depth analysis of 21 qualitative studies reporting on innovation in the public sector identifies five themes for drivers and barriers. Insights from the synthesis pose research challenges for public sector organisations to look beyond praxis to crisis, discover co‐creative radius, recognise ambiguous capacities, and attain integrative intelligence. Using insights from identified concepts and themes, the article develops a line of argument on the contextualisation of innovation for public management and sheds light on areas for future research on public sector innovation.
Third graders' strategy use and accuracy on an expository text: an exploratory study using eye movements
Authors: Tremblay Kathryn A. , Binder Katherine S. , Ardoin Scott P. , Talwar Amani , Tighe Elizabeth L. 
Published: July 2021

BackgroundOf the myriad of reading comprehension (RC) assessments used in schools, multiple‐choice (MC) questions continue to be one of the most prevalent formats used by educators and researchers. Outcomes from RC assessments dictate many critical factors encountered during a student's academic career, and it is crucial that we gain a deeper understanding of the nuances of these assessments and the types of skills needed for their successful completion. The purpose of this exploratory study was to examine how different component skills (i.e., decoding, word recognition, reading fluency, RC and working memory) were related to students' response accuracy as they read a text and responded to MC questions.MethodsWe monitored the eye movements of 73 third graders as they read an expository text and answered MC questions. We investigated whether the component skills differentially predicted accuracy across different question types and difficulty levels.ResultsResults indicated that readers who answered MC questions correctly were able to identify when they needed to reread the text to find the answer and were better able to find the relevant area in the text compared with incorrect responders. Incorrect responders were less likely to reread the text to find the answer and generally had poorer precision when attempting to locate the answer in the text. Finally, the component skills relied upon by readers to answer RC questions were related to the type and difficulty of the questions.ConclusionsResults of the present study suggest that comprehension difficulties can arise from a myriad of sources and that reading abilities together with test‐taking strategies impact RC test outcomes.