bluuebunny/crossref_metadata_2025_split huggingface dataset:
Are job seekers predisposed to job search strategies?
Authors: Islam Zia Ul , Weng Qingxiong (Derek) , Ali Zulqurnain , Ghani Usman , Kiani Ataullah , Naeem Rana Muhammad 
Published: December 2020

PurposeThis study examines the associations among specific personality traits, job search strategies (JSSs) and job search outcomes.Design/methodology/approachTime-lagged data (three-waves) were collected from 528 Chinese graduating students. Structural equation modeling (SEM) was used to test the proposed hypotheses.FindingsThe results revealed a positive association between conscientiousness and both a focused job search strategy (FJSS) and an exploratory job search strategy (EJSS). Neuroticism was positively related to a haphazard job search strategy (HJSS), but negatively associated with both a FJSS and an EJSS. Moreover, FJSS and EJSS were positively related to both the number of job offers (NJOs) and the number of satisfied job offers (NSJOs). However, compared with FJSS, EJSS explained more variance in NJOs but less in NSJOs. Additional analysis showed a significant positive association between conscientiousness and job search intensity (JSI), but no significant relationship between neuroticism and JSI. JSI had significant associations with both NJOs and NSJOs. Further, FJSS and EJSS mediated the association between focal personality traits and both NJOs and NSJOs. Additionally, JSI also mediated the association between conscientiousness and both NJOs and NSJOs.Originality/valuePrevious research has confirmed that JSSs (Stevens and Turban, 2001) are consequential for important job search outcomes. However, whether fresh job seekers are predisposed to the use of JSSs is yet to be explored. This study adds to the job search literature by filling this void.
Entrepreneurial intentions in the context of a natural disaster
Authors: Bustamante Carla , Poblete Carlos , Amorós José Ernesto 
Published: December 2020

PurposeThis research aims to explore the moderating effect of a natural disaster on the well-studied relationship between entrepreneurship-oriented beliefs (behavioral, normative, and control beliefs) and entrepreneurial intentions.Design/methodology/approachThis study relies on data from the Global Entrepreneurship Monitor before and after the earthquake that took place in Chile on February 27, 2010. The study was performed by applying a multilevel hierarchical logit regression over a sample of 14,724 individuals from the six more affected regions.FindingsThe results indicate that a natural disasters shape the relationship between entrepreneurial intentions and all its three motivational antecedents, however in opposing directions. The results also suggest that a natural disaster strengthens the relationship between entrepreneurial attitudes and entrepreneurial intentions; nevertheless the effect of subjective norms becomes less relevant in shaping entrepreneurial intentions. Furthermore, the authors found that the earthquake had a positive effect on the relationship between perceived behavioral control and entrepreneurial intentions.Originality/valueThis study advances the emerging stream of research on the micro-level consequences of exogenous shocks and how they shape individual functioning. A key implication for policymakers wishing to facilitate the recovery phase after a natural disaster is that it is important to focus on fostering entrepreneurship by developing individuals' personal attitude and perceived control over the firm-creation behavior, rather than relying on the perceived social pressure to become an entrepreneur.
Improving the weight of Technical Attributes in Quality Function Deployment by the Integration of Techniques for Order of Preference by Similarity to Ideal Solution method
Authors: Singh Ajit Kumar , Rawani A.M. 
Published: December 2020

PurposeThis study aims to integrate the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method with quality function deployment (QFD) which helps to improve the weight of technical attributes by calculating the closeness of particular attributes with the best attributes and farthest from the worst technical attributes simultaneously.Design/methodology/approachFor the fulfilment of the aim of the study, detailed literature is reviewed and a suitable tool for score calculation has been selected. Further, the proposed methodology is applied in a literature-based case study, and a new weight is calculated and compared with the previous weight.FindingsThe finding of the study suggests that higher weightage is assigned to those technical attributes which is very close to the best technical attribute, and lower weightage is assigned to the technical attributes which are very close to worst technical attributes. Therefore, the weight calculated with the help of the proposed methodology will suggest to optimally invest the resources on technical attributes so that the maximum customer satisfaction is achieved.Practical implicationsThe proposed method will help in better score calculation of QFD. Therefore, the use of the proposed method will help in better product and service design for maximum customer satisfaction.Social implicationsProposed methodology aims to help managers, administrators, QFD practitioners and product/service designers to design a new product/service or mange the quality of existing product/services in an effective way.Originality/valueThis is the first kind of study, in which modification in score calculation has been proposed. This modification will help in the better assignment of resources for maximum customer satisfaction.
Reducing the waitlist of referred patients in a medical specialist outpatient clinic: an observational study
Authors: Lewis Annie K. , Taylor Nicholas F. , Carney Patrick W. , Harding Katherine E. 
Published: December 2020

PurposeLong waitlists in outpatient clinics are a widely recognised problem. The purpose of this paper is to describe and report the impact of a waitlist reduction strategy for an epilepsy clinic.Design/methodology/approachThis observational study described the local impact of a methodical approach to tackling a long waiting list, using targeted strategies supported by a modest additional budget. The interventions were described using the template for intervention description and replication (TIDieR).FindingsOver an eight-month period, the waitlist for the epilepsy clinic was reduced from 599 to 24 patients without increasing the number of days until the next available appointment. Most referrals were removed from the waitlist without an appointment. Auditing revealed a high proportion of patients no longer required the service or referrals remained on the waitlist due to administration error. A short-term increase in clinic capacity of 51 extra appointments met the needs of the remaining waiting patients. The additional project funding invested in this process was AUD $10,500 and a time-limited amount of extra work was absorbed by using existing clinic resources.Practical implicationsThis waitlist reduction strategy resulted in a very small waitlist for the epilepsy clinic, which is now well placed to trial further interventions with the aim of sustaining the service with minimal waiting times. Not every referral on the waitlist, particularly the very long waiters, required an appointment. Other outpatient clinics may be able to apply this process to reduce their waitlists using a modest budget.Originality/valueAlthough there are reports of successful waitlist reduction, few report the intervention in detail. Use of the TIDieR in reporting enables the intervention to be appraised or adapted to other settings where long waitlists are problematic. Considerations related to implementation of policy are discussed and in this case, a locally led and executed change management strategy was a key to achieving the result.
The dynamics of SME growth processes and the role of enabling constraints: an evidence-based theoretical framework
Authors: Gancarczyk Marta , Freiling Joerg , Gancarczyk Jacek 
Published: December 2020

PurposeThis paper aims to explain the dynamics of entrepreneurial decisions and actions (D&As) in the small and medium-sized enterprise (SME) growth process. The study focuses on the changing portfolio and relationship governance and captures these dynamics by using the concept of “enabling constraints” (ECs).Design/methodology/approachIn-depth, long-term and multiple-case study method was adopted based on six high-growth SMEs. Pattern-matching and alternative template approach formed a basis for developing a research framework, further corroborated and advanced in the empirical study.FindingsThe research provides empirical evidence of ECs as entrepreneurial perceptions that both limit (constrain) the range of accessible options and facilitate (enable) new opportunities. This study’s results point to how owner-managers' judgments about growth motives and rationales constrain their choices and how they enable new directions, acknowledging the changing context.Originality/valueThis work contributes to the research on SME growth processes by specifying their dynamics in terms of a creative mutual causality. Here, D&As stem from entrepreneurs' perceptions that are affected by the context, with the latter also shaped by prior decisions and actions. This theoretical contribution has been synthesized in the form of a framework of ECs in the SME growth process with related propositions.
The short-run dynamics of Australian real estate investment trusts and direct real estate at the subsector level
Authors: Giannarelli James , Tiwari Piyush 
Published: December 2020

PurposeThis paper examines the extent of the short-run relationship between Australian real estate investment trusts (A-REITs) and direct real estate returns on both a commercial property sector and a prime and secondary grade basis, i.e. a subsector basis.Design/methodology/approachTwo-step methodology is used. First, we identify the dynamic interdependencies between A-REITs and each commercial property subsector to determine whether the returns of A-REITs lead each subsector or vice versa. Second, short-run deviations between these asset returns are estimated by measuring their individual response behaviours to changes in key economic and financial market factors that are expected to influence these returns.FindingsResults suggest that each subsector shares a unique relationship to A-REITs, given each prime and secondary grade commercial property return series varies in behaviour. Some property subsector returns can be predicted by movements in A-REIT returns, whereas returns for others move independent to changes in A-REITs. Similarly, some subsectors commove with A-REITs in response to changes in certain market factors, whereas others diverge. As such, these findings have practical significance to fund managers and portfolio selection, as each commercial subsector embodies its own exposure to A-REITs and vulnerabilities to market forces. Subsectors that commove with A-REITs in response to certain market forces may be used as substitutes in a portfolio. Alternatively, subsectors that diverge from A-REITs in response to market forces may offer diversification benefits when combined.Practical implicationsThese findings extend beyond existing research to offer critical decision-making guidance at the acquisition level, as fund managers may more closely consider the impact that prime or secondary grade properties within a given commercial sector may have on a portfolio that consists of public and private Australian real estate. Ultimately, a more informed acquisition may be carried out as consideration of a property's asset grade allows for a deeper insight into the property's risk profile and its anticipated short-run impact on a portfolio.Originality/valueThis paper extends previous studies that focus mostly on aggregate or sector-level returns by measuring REIT and real estate dynamics at the subsector level, allowing for practical significance at not only the portfolio level but crucially at the acquisition level, a pivotal decision-making stage for fund managers. This is also the first paper to study REIT and real estate causality and response patterns to changes in market factors at the Australian sector level.
Robotizing shared service centres: key challenges and outcomes
Authors: Figueiredo Alcidio Silva , Pinto Luisa Helena 
Published: December 2020

PurposeThe introduction of robotic process automation (RPA) in shared service centres (SSCs) can hardly be overlooked. This article, therefore, draws on the institutional theory to widen the understanding of its implementation and outcomes regarding people management. Drawing on the lens of the institutional theory and the literature on SSCs and RPA, this study addresses the key challenges and outcomes of robotization.Design/methodology/approachThe study follows a qualitative approach and a purposeful sampling design that collected data from six major SSCs) introducing robotization. Data were collected from semi-structured interviews with service representatives, including RPA project managers. A thematic content analysis was used.FindingsThe introduction of robotics follows mechanisms of coercive, normative and mimetic isomorphism and is effectively replacing workers. So far, this process has been managed through a few reactive people management practices, such as earlier retirements, internal mobility and outsourcing reduction, which warns of future tensions. The findings also show the emergence of new jobs, such as robot developers and robot managers.Originality/valueThe paper contributes to the limited empirical body of research in RPA in SSCs. The study is novel as it is one of the first offering an implementation roadmap for other SSCs and illustrates the positive impact on processes redesign. It also provides empirical evidence on the debate about the potential for service workers' replacement versus tasks augmentation. In the longer term, this study opens new research avenues related to the tensions and contradictions from the progressive institutionalization of robotization in service organizations.
Artificial intelligence and social responsibility: the case of the artificial intelligence strategies in the United States, Russia, and China
Authors: Saveliev Anton , Zhurenkov Denis 
Published: December 2020

PurposeThe purpose of this paper is to review and analyze how the development and utilization of artificial intelligence (AI) technologies for social responsibility are defined in the national AI strategies of the USA, Russia and China.Design/methodology/approachThe notion of responsibility concerning AI is currently not legally defined by any country in the world. The authors of this research are going to use the methodology, based on Luciano Floridi’s Unified framework of five principles for AI in society, to determine how social responsibility is implemented in the AI strategies of the USA, Russia and China.FindingsAll three strategies for the development of AI in the USA, Russia and China, as evaluated in the paper, contain some or other components aimed at achieving public responsibility and responsible use of AI. The Unified framework of five principles for AI in society, developed by L. Floridi, can be used as a viable assessment tool to determine at least in general terms how social responsibility is implied and implemented in national strategic documents in the field of AI. However, authors of the paper call for further development in the field of mutually recognizable ethical models for socially beneficial AI.Practical implicationsThis study allows us to better understand the linkages, overlaps and differences between modern philosophy of information, AI-ethics, social responsibility and government regulation. The analysis provided in this paper can serve as a basic blueprint for future attempts to define how social responsibility is understood and implied by government decision-makers.Originality/valueThe analysis provided in the paper, however general and empirical it may be, is a first-time example of how the Unified framework of five principles for AI in society can be applied as an assessment tool to determine social responsibility in AI-related official documents.
Digital divide in ASEAN member states: analyzing the critical factors for successful e-government programs
Authors: Apriliyanti Indri Dwi , Kusumasari Bevaola , Pramusinto Agus , Setianto Widodo Agus 
Published: December 2020

PurposeThis study addresses the critical factors that contribute to the success of e-government programs in the Association of Southeast Asian Nations (ASEAN) member states (AMS). We investigate the factors that play key roles in e-government adoption and implementation in AMS that stem from multiple dimensions.Design/methodology/approachOur qualitative study on eight ASEAN countries with different political situations and economic developments suggests that in general, institutions (formal and informal institutions), resources, leadership, organizational design and culture values determine the success of e-government.FindingsThe provision of adequate information and communication technology infrastructure alone is insufficient to ensure the success of e-government.Research limitations/implicationsOur findings lead to a conceptual framework of factors that drive the success of e-government projects that advances the literature on e-government, particularly the research about e-government in the context of developing countries.Originality/valueAn empirical evidence and in-depth understanding suggest that different factors are associated with detrimental impacts on e-government implementation.
Implied Terms in Undisclosed Agency
Authors: Tan Cheng‐Han 
Published: December 2020

AbstractUndisclosed agency is considered anomalous by many and often explained on the basis of commercial convenience. Although some aspects are similar to disclosed agency, the significant differences between them have given rise to rules peculiar to undisclosed agency. The content and basis of some of these rules are uncertain even if they appear reasonable. This paper suggests that the rules relating to the principal‐third party relationship that are peculiar to undisclosed agency can be placed on a stronger doctrinal basis if such rules are understood as contractual terms that are implied in law (mainly). Such analysis is consistent with and supports the broadly accepted rules that govern the relationship between the undisclosed principal and third party, and can provide a useful framework within which to resolve those aspects of the relationship that are uncertain or controversial.
The use of lateral flow immunoassays for the detection of fentanyl in seized drug samples and postmortem urine
Authors: Angelini Daniel J. , Biggs Tracey D. , Prugh Amber M. , Smith Jessica A. , Hanburger Jennifer A. , Llano Bob , Avelar Raquel , Ellis Angela , Lusk Brady , Malik Naanaa Abdallah , Sisco Edward , Sekowski Jennifer W. 
Published: December 2020

AbstractThe opioid crisis has continued to progress in the United States and the rest of the world. As this crisis continues, there is a pressing need for a rapid and cost‐effective method for detecting fentanyl. Recent studies have suggested that lateral flow immunoassays (LFIs) could fill this technology gap. These qualitative paper‐based assays contain antibodies designed to react with fentanyl and provide positive or negative results within a matter of minutes. In this study, two different LFI configurations for the detection of fentanyl were examined (dipsticks and cassettes) for effectiveness of detection using seized drug samples and postmortem urine samples. In the current study, 44 seized drug samples (32 fentanyl‐positive, 12 fentanyl‐negative) and 14 postmortem urine samples (10 fentanyl‐positive, 4 fentanyl‐negative) were analyzed. All 32 fentanyl‐containing seized drug samples and 10 postmortem fentanyl‐positive urine samples displayed positive LFI results with both LFI configurations. The fentanyl dipsticks displayed a sensitivity of 100%, a specificity of 75%, and an efficiency of 93.2% for seized drug samples and a sensitivity, specificity, and efficiency of 100% for postmortem urine. Analysis of the fentanyl cassettes displayed a sensitivity, specificity, and efficiency of 100% for seized drug samples and a sensitivity of 100%, a specificity of 75%, and an efficiency of 92.9% for postmortem urine samples. These data point to the utility of LFIs as a quick and low resource‐dependent option for presumptive detection of fentanyl in real‐world situations.
The relationship between plasma clozapine concentration and clinical outcome: a cross‐sectional study
Authors: Yada Yuji , Kitagawa Kohei , Sakamoto Shinji , Ozawa Atsushi , Nakada Akihiro , Kashiwagi Hiroko , Okahisa Yuko , Takao Soshi , Takaki Manabu , Kishi Yoshiki , Yamada Norihito 
Published: December 2020

AbstractObjectiveThere is no report that statistically evaluates the therapeutic reference (350–600 ng/ml) and adverse drug reaction (ADR) range (>1000 ng/ml) of clozapine (CLZ) recommended by the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) consensus guidelines in an isolated and large sampling study.MethodsWe administered CLZ to 131 Japanese patients with treatment‐resistant schizophrenia in a multicenter cross‐sectional study. Plasma CLZ concentrations were assayed by high‐performance liquid chromatography using trough sampling. The Brief Psychiatric Rating Scale (BPRS) and severe dose‐dependent ADR (sedation, myoclonus, and seizures) were analyzed statistically after adjusting for possible confounders.ResultsThe daily CLZ dosage showed a moderately positive relationship with the plasma concentration (r = 0.49, p < 0.001). Every 100 ng/ml increase in plasma CLZ concentration improved the total BPRS score 1.95% (95% CI: 0.89–3.01, p < 0.001) and the odds ratio (OR) 1.38 (95% CI: 1.14–1.66, p = 0.001) for BPRS response. Compared with concentrations below 350 ng/ml CLZ, 350–600 ng/ml (11.12%; 95% CI: 2.52–19.72, p = 0.012) and 600–1000 ng/ml (11.05%; 95% CI: 2.40–19.71, p = 0.013) showed significant improvement in the total BPRS score. Dosages above 1000 ng/ml showed greater improvement (25.36%; 95% CI: 13.08–37.64, p < 0.001) of the total BPRS score but more severe ADRs than dosages below 1000 ng/ml (OR: 31.72; 95% CI: 1.04–968.81, p = 0.048).ConclusionThe AGNP therapeutic reference range (350–600 ng/ml) is useful, and a dose above 1000 ng/ml is potentially more effective but carries the risk of severe ADRs in the central nervous system.