bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding customer's meaningful engagement with AI-powered service robots
Authors: Hlee Sunyoung , Park Jaehyun , Park Hyunsun , Koo Chulmo , Chang Younghoon 
Published: April 2022

PurposeThe purpose of this study is to empirically investigate what aspects of service robot interactions with customers can lead to meaningful outcomes in the view of customers. The study examines functional and emotional elements of AI service robots in terms of meaningful outcomes.Design/methodology/approachThis study highlights AI service robots' meaningful outcomes as a viable research problem and proposes a research model utilizing the Stimulus-Organism-Response (SOR) framework. As an empirical approach, 260 datasets were collected from customers who have experience with AI service restaurants in China.FindingsThe study examines the functional and emotional elements of AI-powered service robots on the attitude of and meaningful outcomes for customers. The results showed that the emotional (perceived friendliness and perceived coolness) and functional (perceived safety and robot competence) attributes of human–robot interactions (HRI) significantly affect the attitude toward using service robots. Second, the attitude toward using service robots significantly influences the experiential outcome and instrumental outcome of meaningful engagement.Research limitations/implicationsThis study highlights two elements (i.e. functional and emotional) of HRI effectiveness using two metrics: experiential and performance outcomes. Future studies should generalize the research findings of service robots in the current study using a larger quantity of data from various service fields.Originality/valueAs the first empirical study highlighting the customer experience with service robots, this study opens up a feasible research direction for the service industry to pursue in terms of conducting HRI studies from the view of customers. It identifies a research model pursuant to customers' experience with HRI in creating meaningful outcomes and it theoretically extends the SOR model to the hospitality study, focusing on the HRI issue.
The dynamic chain of innovation: bounded capabilities and complementarity in agribusiness
Authors: Zawislak Paulo Antonio , Reichert Fernanda Maciel , Barbieux Denise , Avila Ariane Mello Silva , Pufal Nathália 
Published: April 2022

PurposeThe paper presents a framework – the Dynamic Chain of Innovation – to analyze the dynamics of innovation in agribusiness.Design/methodology/approachThe authors adopt a theoretical review in developing the theoretical framework.FindingsThe boundedness of economic agents will not simply be complemented by acquiring any missing asset or resource on the market. In a more complex way, complementarity occurs through collaborative relationships, aimed at developing specific solutions, joint development, special orders, interaction with research institutions, among others.Research limitations/implicationsGiven the theoretical nature of the study, it requires further development with empirical data that support the propositions made as future studies.Originality/valueThe dynamic chain of innovation framework starts from the very existence of incomplete economic agents. However, the authors sustain that the incompleteness is the result of bounded innovation capabilities in individual agents. Innovation, rather than emerging from simple market relations, ought to happen from relations established among bounded capabilities of incomplete agents along the chain or within the micro-links as a puzzle. The dynamics of innovation is thus based both on the boundedness and the complementarity of firms.
Reducing deviant consumer behaviour with service robot guardians
Authors: Dootson Paula , Greer Dominique A. , Letheren Kate , Daunt Kate L. 
Published: April 2022

Purpose
The purpose of this research is to understand whether service robots can safeguard servicescapes from deviant consumer behaviour. Using routine activity theory, this research examines whether increasing the perceived humanness of service robots reduces customer intentions to commit deviant consumer behaviour and whether this negative relationship is mediated by perceived empathy and perceived risk of being caught.

Design/methodology/approach
Five hundred and fifty-three US residents responded to a hypothetical scenario that manipulated the humanness of a service agent (from self-service technology, to robot, to human employee) across seven conditions and measured the likelihood of deviant consumer behaviour, empathy towards the service robot, perceived risk of being caught and punished and negative attitudes towards robots.

Findings
The results indicate that replacing human service agents with different types of service robots does inadvertently reduce customer perceptions of capable guardianship (i.e. the human element that deters potential offenders from committing crimes) in the servicescape and creates conditions that allow customers to perpetrate more deviant consumer behaviour.

Practical implications
When investing in technology such as service robots, service providers need to consider the unintended cost of customer misbehaviour (specifically deviant consumer behaviour) in their return-on-investment assessments to optimise their asset investment decisions.

Originality/value
Moving beyond research on customer adoption and use, this research examines the unintended consequences that might arise when deploying service robots in a technology-infused service environment. Humanised service robots offer more guardianship than self-service technology but do not replace human employees in preventing deviant consumer behaviour, as they remain more capable of deterring customer misbehaviour.
Stock price prediction using improved extreme learning machine methods during the Covid-19 pandemic and selection of appropriate prediction method
Authors: Boru İpek Aslı 
Published: April 2022

PurposeCoronavirus disease (Covid-19) has created uncertainty in all countries around the world, resulting in enormous human suffering and global recession. Because the economic impact of this pandemic is still unknown, it would be intriguing to study the incorporation of the Covid-19 period into stock price prediction. The goal of this study is to use an improved extreme learning machine (ELM), whose parameters are optimized by four meta-heuristics: harmony search (HS), social spider algorithm (SSA), artificial bee colony algorithm (ABCA) and particle swarm optimization (PSO) for stock price prediction.Design/methodology/approachIn this study, the activation functions and hidden layer neurons of the ELM were optimized using four different meta-heuristics. The proposed method is tested in five sectors. Analysis of variance (ANOVA) and Duncan's multiple range test were used to compare the prediction methods. First, ANOVA was applied to the test data for verification and validation of the proposed methods. Duncan's multiple range test was used to identify a suitable method based on the ANOVA results.FindingsThe main finding of this study is that the hybrid methodology can improve the prediction accuracy during the pre and post Covid-19 period for stock price prediction. The mean absolute percent error value of each method showed that the prediction errors of the proposed methods were all under 0.13106 in the worst case, which appears to be a remarkable outcome for such a difficult prediction task.Originality/valueThe novelty of this study is the use of four hybrid ELM methods to evaluate the automotive, technology, food, construction and energy sectors during the pre and post Covid-19 period. Additionally, an appropriate method was determined for each sector.
Staffing composition in large, US police departments: benchmarking workforce diversity
Authors: Wilson Jeremy M. , Grammich Clifford A. 
Published: April 2022

PurposePolicymakers have long suggested diversifying US police forces, which typically have white male majorities among officers. This article explores to what extent police diversity has changed over time in large agencies, as well as whether different diversity benchmarks may matter for agencies.Design/methodology/approachThe authors draw data from the Law Enforcement Management and Administrative Statistics (LEMAS) survey for 358 agencies that had at least 100 full-time sworn officers in 1997 and 2016 and that reported officer demographic data to the LEMAS in both years. For a selection of 12 communities – three randomly chosen in each of the four US Census regions – the authors compare officer diversity to Census data on population diversity for different benchmarks.FindingsThere has been some increase in diversity but policing largely remains a white male profession. The authors find only limited variation in diversity by type of benchmark – e.g. total population, working population or recruiting-age population – a community considers. This suggests communities may wish to choose a benchmark they can best measure and seek to increase diversity by it, and research on workforce representation may not be sensitive to benchmark choice. The authors also suggest communities and their police organizations consider other ways to assess diversity, including those that illustrate a broader range of attributes and representation throughout the organization, and that they research and test alternative forms of measurement to gauge whether these findings hold for different modeling approaches.Research limitations/implicationsOur analysis is limited to the largest police agencies and to overall staffing level diversity metrics pertaining to sex, race and Hispanic origin. Still, we find many police agencies have room for greater diversity, which could draw more qualified workers and lead to better policing.Originality/valueWhile there has been much attention to police diversity in recent decades, there have been few efforts to compare alternative measurement approaches. This research provides guidance to some initial measures, as well as further considerations communities may wish to make.
Business, Government and Policy‐making Capacity: UK Energy and Net Zero Transitions
Authors: Kuzemko Caroline 
Published: April 2022

AbstractThe UK government is responsible for meeting legally binding decarbonisation objectives, but it is not on track to meet its next Climate Change Act targets or the goal of Net Zero by 2050. The IPCC's Sixth Assessment Report is a stark reminder of the importance of all countries, particularly those historically responsible for greenhouse gas emissions, devising and implementing the innovative and just policy solutions required to lower emissions. Within this context, this article explores the UK's sustainable energy policy making, and why it is not on course to meet targets, through the lens of government‐business relations. It analyses government policy capacity, incumbent energy company influence, and how complex relations and dependencies have affected sustainable policy (non‐)decisions and outcomes. It reveals that an over‐reliance on incumbent energy companies in UK energy politics, although understandable given the need to provide affordable and secure energy, has contributed towards insufficient space for cheaper and more just clean energy solutions.
Daring to fail: Input‐oriented voting under supranational policy constraints
Authors: KONSTANTINIDIS NIKITAS , JURADO IGNACIO , DINAS ELIAS 
Published: April 2022

AbstractRecent literature argues that with ever‐increasing levels of supranational constraints governments have less ‘room to manoeuvre’; therefore, voters will place less weight on policy outcomes in their voting decisions. The question that remains less explored is how voters fill this accountability gap. We argue that, in this context, voters may move away from outcome‐ to input‐oriented voting. Fulfilling their promises becomes less vital for incumbents as long as they exhibit effort to overturn an unpopular policy framework. We test this argument against a survey experiment conducted in the run‐up to the September 2015 election in Greece, where we find a positive impact of the incumbent's exerted effort to challenge the status quo of austerity on vote intention for SYRIZA – the senior coalition government partner at the time – despite the failed outcome of the government's bailout negotiations.
Utilising farm‐level panel data to estimate climate change impacts and adaptation potentials
Authors: Quddoos Abdul , Salhofer Klaus , Morawetz Ulrich B. 
Published: April 2022

AbstractWe combine farm accounting data with high‐resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm‐level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm‐level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
Influence of susceptible and resistant potato cultivars on the population of the potato cyst nematode Globodera rostochiensis Ro1 and on potato yields in a highly infested field in Australia
Authors: de Boer Rudolf F. , Wainer John , Norng Sorn , Beardsell David V. , Crump Nigel S. , Washington William S. , Yen Alan 
Published: April 2022

AbstractThe potato cyst nematode, Globodera rostochiensis, is a quarantine pest in Australia affecting a relatively small number of properties in three different production areas in the State of Victoria. The effects of susceptible (Trent, Sebago and Coliban) and H1‐resistant potato cultivars (Atlantic, Crop 13 and Nicola) on nematode populations were compared in two trials in a naturally infested field in the 2008/09 season (Trial 1) and in the 2009/10 season (Trial 2). The latter included a bare fallow treatment. The reproduction factor Pf/Pi (final compared with initial nematode population) was used to determine treatment effects. Initial population density was very high, averaging 111 and 119 eggs g−1 soil in Trial 1 and 2, respectively. The Pf/Pi of population density (eggs g−1 soil) was greater after growing susceptible cultivars (average 1.74 and 2.92 in Trials 1 and 2, respectively) than after growing resistant cultivars (average 0.72 and 0.61 in Trials 1 and 2, respectively), or after a bare fallow (1.09) in Trial 2. This correlated with higher Pf/Pi values of cysts 500 g−1 soil and eggs cyst−1 for susceptible cultivars than for resistant cultivars. Average Pf/Pi values greater than one in both trials are consistent with more cysts and an increased population density after growing susceptible cultivars. There was a trend of population decline, that is, Pf/Pi < 1, after growing resistant cultivars (average Pf/Pi values of eggs cyst−1 of 0.77 and 0.35 and of eggs g−1 soil of 0.72 and 0.61, for Trials 1 and 2, respectively). However, Trial 2 showed that these Pf/Pi values were not significantly less than those for the bare fallow (0.68 eggs cyst−1 and 1.09 eggs g−1 soil). The susceptible cultivars Trent and Sebago produced lower yields than the resistant cultivars in both trials. In contrast, the susceptible Coliban yielded as well as the resistant cultivars, suggesting a high level of tolerance of this cultivar to infestation by the nematode. The resistant cultivar Crop 13 produced 34% and 36% greater total yields in Trials 1 and 2, respectively, than the once popular, but susceptible cultivar Sebago. This is the first report of the effects of potato cultivars on a population of the potato cyst nematode in an Australian field. The use of H1‐resistant potato cultivars can feasibly reduce populations of G. rostochiensis Ro1 on infested land and reduce PCN risk on land regulated as “linked” with infested land.
The legacy of colonial rule: On the impact of the railway zones in modern China
Authors: Li Nan , Dong Baomin 
Published: April 2022

AbstractThis paper examines the long‐ and short‐run impacts of the railway zones associated with the China Eastern and South Manchuria Railways in Manchuria, which were administered by Russia and Japan, respectively, from the early 1900s to the 1920s. Despite the fact that ‘railway imperialism’ impaired China's sovereignty and territorial integrity and constituted a humiliating quasi‐colonial episode in Chinese history, railway zones nevertheless had a noticeable impact on Manchuria's local economies. Through a reconstruction of the historical dataset and cliometrics, we show that, among the railway zones in northeastern China, only those attached to the South Manchuria Railway exerted a significant and positive impact. Specifically, its railway zone had higher urbanisation and literacy rates and a higher percentage of professionals in its industrial and commercial sectors in the 1930s, and these effects persist to the present day as an unintended outcome. Apart from the agglomeration of direct manufacturing investment in these railway zones, an additional channel through which the impact took effect was the provision of public goods, such as schools and hospitals, which served as necessary conditions for long‐term development. This study sheds light on understanding the persistence of colonial history as a root of development.
Expression of nuclear factor kappa B components in the ovine maternal liver in early pregnancy periods
Authors: Fang Shengya , Zhang Taipeng , Qiao Haiyun , Hao Shaopeng , Zhang Leying , Yang Ling 
Published: April 2022

AbstractThere is a systemic immunological adaptation to maintaining tolerance towards the allogeneic fetus, and the liver participates in the adaptive immune tolerance during normal pregnancy. Nuclear factor kappa B (NF‐κB) signalings contribute to immune regulation and liver homoeostasis. The objective of this study is to explore the effects of early pregnancy on expression of NF‐κB components in the maternal liver in sheep. The maternal livers were sampled on Day 16 of the estrous cycle, and Days 13, 16, and 25 of gestation, and the expression of NF‐κB components, including NF‐κB1 (p50), NF‐κB2 (p52), RelA (p65), RelB, and c‐Rel, was detected by quantitative real‐time polymerase chain reaction (PCR), Western blot analysis, and immunohistochemical analysis. Our data revealed that early pregnancy inhibited the expression of NF‐κB1 and c‐Rel, but the expression of NF‐κB1 and c‐Rel was increased during early pregnancy. However, early pregnancy enhanced the expression of NF‐κB2, RelA, and RelB with the pregnancy progress. In conclusion, early pregnancy regulates the expression of NF‐κB components in the maternal livers, which may contribute to maintaining maternal liver homeostasis and immune tolerance during early pregnancy in sheep.
Angiotensin‐converting enzyme inhibitors and risk of age‐related macular degeneration in individuals with hypertension
Authors: Subramanian Anuradhaa , Han Diana , Braithwaite Tasanee , Thayakaran Rasiah , Zemedikun Dawit T. , Gokhale Krishna M. , Lee Wen Hwa , Coker Jesse , Keane Pearse A. , Denniston Alastair K. , Nirantharakumar Krishnarajah , Azoulay Laurent , Adderley Nicola J. 
Published: April 2022

AimsSeveral observational studies have examined the potential protective effect of angiotensin‐converting enzyme inhibitor (ACE‐I) use on the risk of age‐related macular degeneration (AMD) and have reported contradictory results owing to confounding and time‐related biases. We aimed to assess the risk of AMD in a base cohort of patients aged 40 years and above with hypertension among new users of ACE‐I compared to an active comparator cohort of new users of calcium channel blockers (CCB) using data obtained from IQVIA Medical Research Data, a primary care database in the UK.MethodsIn this study, 53 832 and 43 106 new users of ACE‐I and CCB were included between 1995 and 2019, respectively. In an on‐treatment analysis, patients were followed up from the time of index drug initiation to the date of AMD diagnosis, loss to follow‐up, discontinuation or switch to the comparator drug. A comprehensive range of covariates were used to estimate propensity scores to weight and match new users of ACE‐I and CCB. Standardized mortality ratio weighted Cox proportional hazards model was used to estimate hazard ratios of developing AMD.ResultsDuring a median follow‐up of 2 years (interquartile range 1–5 years), the incidence rate of AMD was 2.4 (95% confidence interval 2.2–2.6) and 2.2 (2.0–2.4) per 1000 person‐years among the weighted new users of ACE‐I and CCB, respectively. There was no association of ACE‐I use on the risk of AMD compared to CCB use in either the propensity score weighted or matched, on‐treatment analysis (adjusted hazard ratio: 1.07 [95% confidence interval 0.90–1.27] and 0.87 [0.71–1.07], respectively).ConclusionWe found no evidence that the use of ACE‐I is associated with risk of AMD in patients with hypertension.
Exposure to workplace bullying and negative gossip behaviors: Buffering roles of personal and contextual resources
Authors: De Clercq Dirk 
Published: April 2022

AbstractThis study adds to business ethics research by investigating how employees' exposure to workplace bullying might spur their negative gossip behaviors, as well as how this effect might be buffered by their access to two personal resources (religiosity and innovation propensity) and two contextual resources (work meaningfulness and trust in top management). Survey data collected among Canadian‐based employees who work in the religious sector reveal that workplace bullying increases the likelihood that they spread negative rumors about other organizational members, but this effect is weaker when employees (1) can draw from their religious faith, (2) are motivated to generate innovative ideas, (3) derive meaning from their work, and (4) have confidence in the trustworthiness of top management. For management scholars and practitioners, this study thus pinpoints different resources that diminish the risk that workplace bullying infuses work environments with even more negative energy, as might occur if bullying spills over into additional, negative gossip behaviors.
Britain and BrExit: Is the UK more attractive to supervisors? An analysis of the wage premium to supervision across the EU
Authors: Leonida Leone , Giangreco Antonio , Scicchitano Sergio , Biagetti Marco 
Published: April 2022

AbstractWe studied which European Union (EU) economy was more attractive prior to Brexit for employees in supervisory positions. We estimate the extra wage that supervisors earn relative to their subordinates—the wage premium to supervision (WPS)—at different quantiles of distribution of wages for 26 European economies. We find that the UK rewards supervisors more than other EU economies. Moreover, the WPS increases with wage and so increases wage inequality. Over 10% of the WPS depends on the national economic context. We discuss the implications for immigration and policymakers in relation to the post‐Brexit process.