bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experiencing tensions, regulatory focus and employee creativity: the moderating role of hierarchical level
Authors: Liu Zhiqiang , Ouyang Xi , Pan Xiaoqing 
Published: March 2022

Purpose
This study aims to explore how employees respond to tensions in groups and whether experiencing tensions could spur on their creativity (including radical and incremental creativity). Through integrating the literature on tension and regulatory focus theory, this study develops a model depicting the process from experiencing tensions to creativity via regulatory foci. This study further investigates the moderating effect of employees’ hierarchical level on these processes.

Design/methodology/approach
A two-wave survey was conducted with a sample of 375 employees in China. MPLUS was used to examine the moderated mediation model.

Findings
The results show that experiencing tensions can simultaneously activate employees’ prevention focus and promotion focus, both of which in turn influence radical and incremental creativity. Specifically, prevention focus mediates the negative relationship between experiencing tensions and the two aforementioned types of creativity, and promotion focus mediates the positive relationship between experiencing tensions and radical creativity. Employees’ hierarchical level significantly buffers the link between experiencing tensions and prevention focus.

Practical implications
Organizations should optimize their work design to simplify the role demand of employees in the early stages of their careers. Top-tier employees should be encouraged and empowered to think and act with a paradoxical approach, which can drive them to generate more creative outcomes. Besides, when aiming to discover radical ideas, managers should emphatically cultivate employees’ promotion focus.

Originality/value
This study contributes to the literature on tension through revealing and testing the dual paths resulted by employees’ experiencing tensions. It also advances current research by contrasting the effects of experiencing tensions on different types of creativity.
Do labour hoarding practices stimulate training investments? Evidence from the Italian Great Recession
Authors: Pedrini Giulio 
Published: March 2022

PurposeThis paper investigates the relationship between labour hoarding practices and training investments during severe economic downturns focusing on the case of Italy during the Great Recession.Design/methodology/approachData come from the 2010 Italian wave of Continuing Vocational Training Survey (CVTS). Econometric estimates plug a proxy of labour hoarding into the probability function that firms provide either off-the-job or on-the-job training. A bivariate selectivity probit model is also used for robustness sake.FindingsResults show that labour hoarding should not be considered as an enhancer of training investments when considered as a standing-alone practice in presence of severe and deep economic downturn. However, labour hoarding does not penalize off-the-job training investments if it occurs in an innovative firm or in a firm that perceive specific skill requirements in the workforce during the recessionary period.Originality/valueThe paper contributes to the debate on the role of labour hoarding during severe recessions by showing that it cannot be functional to re-oriented firms’ investments aimed at upskilling their workforce. It is only compatible with new training courses that accompany the workforce across a technological transition. Policy implications deals with the suitability of job retention schemes or state-financed furlough during recessions, as occurred during the coronavirus disease 2019 (COVID-19) pandemic.
Analysing enterprise resources for developing CRM framework in higher education institutions
Authors: Khashab Basel , Gulliver Stephen , Ayoubi Rami , Strong Carolyn 
Published: March 2022

PurposeMost Higher Education Institutions (HEIs) have silos of distributed processes, which adds to the confusion and conflict concerning the Customer Relationship Management (CRM), desires, expectation and needs (DEN). Where possible, in order to maximise resource impact and minimise organisational disruption, HEIs should practically map these DEN to processes, roles, events, activities, channels, and technologies (PRE-ACTs) that already exist within the organisation. The paper iteratively considers use of additional practical approaches that need be considered in order to ensure that strategic HEI CRM DEN are effectively captured, and that the requirements are appropriately mapped to existing HEI activities.Design/methodology/approachContent from 27 JISC cases, 10 semi-structured interviews and three focus group sessions have been collected and analysed using thematic analysis to understand how to develop preliminary stage 2 steps and assess the applicability of the final CRM strategy orientation support (CRM-SOS) framework stage 2 methods.FindingsThe authors believe that this study provides substantial practical support to CRM implementation practitioners when analysing customer CRM desires, expectation, and needs requirements. The developing practical tools aim to 1) support practitioners better comprehend the multifaceted life cycles, needs, and requirements of HEI customers, and 2) aid in the planning and management of CRM change more effectively.Originality/valueThe paper is extending the recent research around CRM strategy in HEIs by proposing additional practical approaches that need be considered to ensure that strategic CRM are effectively captured. The paper also offers considerable practical support to CRM implementation practitioners when analysing customer CRM desires, expectation, and needs' requirements.
How blockchain technology can be a sustainable infrastructure for the agrifood supply chain in developing countries
Authors: Kumar Anup , Srivastava Santosh Kumar , Singh Sarbjit 
Published: March 2022

Purpose
This study aims to formulate a conceptual sustainable framework for developing a trusted, reliable, scalable, transparent, traceable and sustainable agri-food supply chain in a developing country so that it minimizes wastage and increases the efficiency levels of agri-produce and its usage.

Design/methodology/approach
This study uses a rigorous review of extant literature, case studies and the interview method for theory building, using blockchain technology (BT) as a subject. Further, the study builds a framework to relate blockchain solutions to the challenges faced by the agri-supply chain. Notably, the use of BT in the agri-food supply chain is a relatively new area of study.

Findings
Limitations of using BT 3.0 in a diverse supply chain like the food sector, especially in a developing country such as India, may be overcome by adopting BT 4.0 and could change the country’s face by controlling inefficiencies and ensuring transparency, helping in good governance, improving the humanitarian supply chain and integrating the bottom of the pyramid to the main economy. Based on the findings, this study proposes BT 4.0 for the agri-supply chain in India to deal with the current issues of demand-supply gap, wastages of agri-produce, unequal distribution of profit among agriproduct producers and logistics suppliers and ensuring sustainability.

Research limitations/implications
Results in this study have been derived from a specific demographic condition in India. Future research with other demographic conditions may be replicated. BT is a new technology product, and its effectiveness is yet to be established.

Practical implications
The outcome of this study provides the application of BT 4.0 in the area of the agri-food supply chain. The BT 4.0 framework has been developed on studying a few cases that either implemented BT or were in the testing phase. The benefits of the agri-food supply chain vis-à-vis its overall social well-being may be achieved on the successful implementation of the framework, despite existing complexities in the food supply chain. Further research on this subject may help the other dimensions of the complexity of adopting BT 4.0. Both practitioners and policymakers from developing countries can, therefore, use the findings of this study to analyze BT 4.0 and address the concerns of the agri-food supply chain.

Originality/value
This research paper has proposed a conceptual framework of BT 4.0, which is a completely new technology. It is fairly transparent, and therefore sustainable supply chain practices may be achieved easily.
The impact of intellectual capital on commercial banks' performance: evidence from Bangladesh
Authors: Mollah Md. Anhar Sharif , Rouf Md. Abdur 
Published: March 2022

PurposeIntellectual capital (IC) and financial performance is now a very contemporary issue in the banking sector. The purpose of this study is to investigate empirically the impact of IC on financial performance of all the listed commercial banks of Bangladesh.Design/methodology/approachBangladesh Bank database and financial statement of the listed commercial banks of Bangladesh for the period of 2014–2018 have been used to collect data. Value added intellectual coefficient (VAICTM) methods have been used for measuring the performance of banks. VAICTMdetermined IC and its three major components like structural, human and capital employed.FindingsThe results suggest that human capital efficiency (HCE) and capital employed efficiency (CEE) have statistically significant relationships with bank performance, but when VAICTMis divided then structural capital efficiency (SCE) does not have a significant relationship with bank performance.Research limitations/implicationsThe study uses only listed banks, but it does not include all the commercial banks specially nationalized commercial banks.Practical implicationsThe findings allowed banks to focus more on human capital (HC) and structural capital, because in the present world, HC is considered one of the key factors for the success in business. This study also provides an awareness on how good IC of the banking companies will bring more assistance to a better life of a society.Originality/valueThis is one of the very few studies which examine the impact of IC on bank financial performance in Bangladesh.
Exploring the impact of brand placement repetition on the effectiveness of umbrella branding
Authors: Davtyan Davit , Tashchian Armen 
Published: March 2022

PurposeThis study aims to compare and contrast the effectiveness of single- and dual-product repetition strategies in the brand placement context. The study also aims to explore the number of repetitions needed for achieving maximum impact on brand memory (i.e. recall and recognition) and brand attitudes.Design/methodology/approachThe proposed hypotheses and research questions were tested using a quasi-experimental approach. Participants watched a block of eight videos containing four different levels comprising one, three, five and seven repetitions of products belonging to the same umbrella brand. Subsequently, participants completed a questionnaire designed to measure brand memory and brand attitudes.FindingsResults indicate that dual-product brand placements could elicit higher levels of brand recall than that of single-product brand placements at moderate and high levels of repetition (i.e. five and seven). Moreover, at a high level of repetition (i.e. seven repetitions), the brand attitudes of consumers exposed to dual-product brand placements are significantly higher when product categories are dissimilar.Originality/valueConsumers are increasingly exposed to multiple products of the same umbrella brands when watching various video content. However, prior research has not examined the effects of brand placement repetition in the umbrella branding context. This study is the first attempt at combining research streams on umbrella branding and brand placements and comparing the effects of repetitive exposure to single- and dual-product brand placements on consumers’ memory and brand attitudes.
Course complexity in engineering education using E-learner's affective-state prediction
Authors: Rathi Snehal R. , Deshpande Yogesh D. 
Published: March 2022

PurposeAffective states in learning have gained immense attention in education. The precise affective-states prediction can increase the learning gain by adapting targeted interventions that can adjust the changes in individual affective states of students. Several techniques are devised for predicting the affective states considering audio, video and biosensors. Still, the system that relies on analyzing audio and video cannot certify anonymity and is subjected to privacy problems.Design/methodology/approachA new strategy, termed rider squirrel search algorithm-based deep long short-term memory (RiderSSA-based deep LSTM) is devised for affective-state prediction. The deep LSTM training is done by the proposed RiderSSA. Here, RiderSSA-based deep LSTM effectively predicts the affective states like confusion, engagement, frustration, anger, happiness, disgust, boredom, surprise and so on. In addition, the learning styles are predicted based on the extracted features using rider neural network (RideNN), for which the Felder–Silverman learning-style model (FSLSM) is considered. Here, the RideNN classifies the learners. Finally, the course ID, student ID, affective state, learning style, exam score and course completion are taken as output data to determine the correlative study.FindingsThe proposed RiderSSA-based deep LSTM provided enhanced efficiency with elevated accuracy of 0.962 and the highest correlation of 0.406.Originality/valueThe proposed method based on affective prediction obtained maximal accuracy and the highest correlation. Thus, the method can be applied to the course recommendation system based on affect prediction.
Total interpretive structural modelling (TISM) and MICMAC approach in analysing knowledge risks in ICT-supported collaborative project
Authors: Foli Samuel 
Published: March 2022

Purpose
As emphasised by the theory of knowledge-based view, knowledge constitutes the basic element for a firm’s competitive advantage. Consequently, a firm’s knowledge at risk could have an adverse effect on its performance. In this regard, this paper aims to investigate potential knowledge risks present in an (ICT)-supported collaborative project and establishes inter- and multi-relationships among these risks.

Design/methodology/approach
In this paper, an integrated approach using the total interpretive structural modelling (TISM) technique and MICMAC analysis is implemented to determine the hierarchical inter-relationships among knowledge risks and classify them according to their driving and dependence power.

Findings
The result reveals seven knowledge risks. The analysis establishes cybercrime and espionage as high drivers of knowledge risks in an ICT-supported collaborative project. Further, a comprehensive model is developed showing the hierarchical structure and multi- and inter-relationships among the analysed risks.

Practical implications
From a practical viewpoint, the proposed model in this study will be of great importance to practitioners because it highlights the most prominent knowledge risks in an ICT-supported collaborative project. Additionally, it will provide a clue for effective knowledge risk management in a systematic approach.

Originality/value
To the best of the author’s knowledge, this is one of the first studies to use both the TISM technique and MICMAC analysis to identify and classify knowledge risks in an ICT-supported collaborative project.
Partial mycoheterotrophy in rhizoctonia‐associated orchid Cheirostylis liukiuensis
Authors: Yagi Ryuta , Tayasu Ichiro , Suetsugu Kenji 
Published: March 2022

AbstractPartially mycoheterotrophic plant species obtain organic carbon, via both photosynthesis and mycorrhizal symbiosis. In this study, we investigated the mycorrhizal fungi association and nutritional mode of Cheirostylis liukiuensis, which is suspected to be a partial mycoheterotrophic plant, due to its characteristic reduced underground organs, low‐light growth environment, and some fully mycoheterotrophic species in the phylogenetically related genera. Molecular analysis of the dominant mycobiont and stable isotope analysis suggested that C. liukiuensis is a partial mycoheterotrophic plant predominantly associate with non‐ectomycorrhizal Ceratobasidiaceae fungi. As examples of partial mycoheterotrophic orchids exploiting non‐ectomycorrhizal rhizoctonia are still limited, this study provides valuable information on the nutritional modes of green orchids.
Evaluating risk for alcohol use disorder: Polygenic risk scores and family history
Authors: Lai Dongbing , Johnson Emma C. , Colbert Sarah , Pandey Gayathri , Chan Grace , Bauer Lance , Francis Meredith W. , Hesselbrock Victor , Kamarajan Chella , Kramer John , Kuang Weipeng , Kuo Sally , Kuperman Samuel , Liu Yunlong , McCutcheon Vivia , Pang Zhiping , Plawecki Martin H. , Schuckit Marc , Tischfield Jay , Wetherill Leah , Zang Yong , Edenberg Howard J. , Porjesz Bernice , Agrawal Arpana , Foroud Tatiana 
Published: March 2022

AbstractBackgroundEarly identification of individuals at high risk for alcohol use disorder (AUD) coupled with prompt interventions could reduce the incidence of AUD. In this study, we investigated whether Polygenic Risk Scores (PRS) can be used to evaluate the risk for AUD and AUD severity (as measured by the number of DSM‐5 AUD diagnostic criteria met) and compared their performance with a measure of family history of AUD.MethodsWe studied individuals of European ancestry from the Collaborative Study on the Genetics of Alcoholism (COGA). DSM‐5 diagnostic criteria were available for 7203 individuals, of whom 3451 met criteria for DSM‐IV alcohol dependence or DSM‐5 AUD and 1616 were alcohol‐exposed controls aged ≥21 years with no history of AUD or drug dependence. Further, 4842 individuals had a positive first‐degree family history of AUD (FH+), 2722 had an unknown family history (FH?), and 336 had a negative family history (FH−). PRS were derived from a meta‐analysis of a genome‐wide association study of AUD from the Million Veteran Program and scores from the problem subscale of the Alcohol Use Disorders Identification Test in the UK Biobank. We used mixed models to test the association between PRS and risk for AUD and AUD severity.ResultsAUD cases had higher PRS than controls with PRS increasing as the number of DSM‐5 diagnostic criteria increased (p‐values ≤ 1.85E−05) in the full COGA sample, the FH+ subsample, and the FH? subsample. Individuals in the top decile of PRS had odds ratios (OR) for developing AUD of 1.96 (95% CI: 1.54 to 2.51, p‐value = 7.57E−08) and 1.86 (95% CI: 1.35 to 2.56, p‐value = 1.32E−04) in the full sample and the FH+ subsample, respectively. These values are comparable to previously reported ORs for a first‐degree family history (1.91 to 2.38) estimated from national surveys. PRS were also significantly associated with the DSM‐5 AUD diagnostic criterion count in the full sample, the FH+ subsample, and the FH? subsample (p‐values ≤6.7E−11). PRS remained significantly associated with AUD and AUD severity after accounting for a family history of AUD (p‐values ≤6.8E−10).ConclusionsBoth PRS and family history were associated with AUD and AUD severity, indicating that these risk measures assess distinct aspects of liability to AUD traits.
Cabbage‐centre grub (Hellula hydralis Guenée) (Lepidoptera: Pyralidae): a new pest challenge to long‐season canola grown for forage and grain in southern Australia
Authors: Nash Michael 
Published: March 2022

AbstractCanola crops grown across southern Australia are subject to damage from more than 40 invertebrate species. Shifts within this invertebrate pest complex have evolved due to changing management practices. The latest change is the sowing of winter canola cultivars in the proceeding spring (September–November), grazing during late summer to early winter (February–June) and then ‘locking up’ for grain harvest in December/January. Complementary to this practice is the sowing of longer‐season spring cultivars in early autumn, also for grazing. Do long‐growing‐season crops create green bridges for insects and diseases? In the autumn of 2016, significant damage to forage canola caused by Hellula hydralis Guenée, 1854 was reported. The widespread occurrence of H. hydralis moths across south‐east Australia is expected due to it migrating on southerly airflows from where it is a pest in subtropical vegetable crops. Previously, H. hydralis had been considered as an occasional pest in forage turnips grown over the summer–autumn period. However, the occurrence of multiple larval instars in winter canola for a prolonged period in late summer and early autumn of 2016 across the high‐rainfall zones of south‐east Australia causing substantial loss of dry matter has not been reported previously. Little is known about this native species, but international literature exists for related pest species. The likely factors and implications of the unusually high occurrence of H. hydralis in forage canola are discussed. Pest report data indicate that H. hydralis continues to cause damage, suggesting that the growing of long‐season forage canola is providing another, more suitable, over‐summer breeding ground in southern Australia for this native species. Long‐term research on crop and non‐crop hosts is necessary to understand, hence manage, H. hydralis as a pest of canola.
Diversity of Japanese consumers' requirements, sensory perceptions, and eating preferences for meat
Authors: Sasaki Keisuke 
Published: March 2022

AbstractJapanese consumers are generally characterized as preferring high marbling in beef and pork and choosing domestic products. However, the Japanese food market is not homogenous. Understanding the diversity of Japanese consumers will provide benefits for the optimization of meat production and distribution in Japan. This article focuses on three factors affecting purchasing decisions and eating satisfaction, namely, requirements, sensory perception, and eating preferences, in order to understand the diversity of Japanese consumers in a simplified manner. Diversity was observed in Japanese consumers in all three of these factors (requirements, perception, and preference) using a questionnaire survey, sensory and biological procedures, and an eating preference test. These diversities are due to not only sociodemographic characteristics but also biological and physiological factors, background culture, and individual attitudes and criteria. Although consumer variation based on sociodemographic characteristics is of course important, it is equally important to understand diversity by focusing on the individual differences among consumers.