Search results
1 – 10 of over 2000This study aims to examine the predictors of the managers’ work performance under the risk-as-feelings hypothesis during the Covid-19 pandemic in four European countries…
Abstract
Purpose
This study aims to examine the predictors of the managers’ work performance under the risk-as-feelings hypothesis during the Covid-19 pandemic in four European countries. Specifically, it aims to investigate the impact of risk-related job stressors and behavioral and emotional reactivities on non-managers and managers performance in risky circumstances.
Design/methodology/approach
The author assessed simultaneously the effects of occupational health risk perception and the resulting feelings and emotional state such irritability and commitment change, the effects of income and others organizational and personal variables as performance stressors. The author used a sample of 652 employees divided on two groups (71% non-managers and 23% managers). Data are obtained from the dataset in Prochazka et al., (2020) collected using online survey delivered to employees employed in their companies for a minimum of five months in the period between Mai and June 2020.
Findings
The results confirm the risk-as-feelings hypothesis and show significant effect of occupational health risk perception and associated emotional responses (irritability and commitment) on the work performance for non-managers’ group. However, for managers’ group the main determinant of work performance is the organizational commitment as explained by the job-demands-resources-model (JDRM).
Originality/value
The originality of this study is to employ the risk-as-feelings hypothesis (Loewenstein et al., 2001) in a management research question such as job performance predictors. Thus, this study contributes to the literature on job performance in two significant ways. First, it examines the risk-related job’s stressors as determinants of managers and non-managers performance under the risk-as-feelings hypothesis. Second, it tests the importance of functional differences as an approach to better investigate the framework of the JDRM (Bakker and Demerouti, 2017).
Details
Keywords
Luca Ferri, Marco Maffei, Rosanna Spanò and Claudia Zagaria
This study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.
Abstract
Purpose
This study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.
Design/methodology/approach
The study employs an integrated theoretical framework that merges the third version of the technology acceptance model 3 (TAM3) and the unified theory of acceptance and use of technology (UTAUT) based on the application of the structural equation model with partial least squares structural equation modeling (PLS-SEM) estimation on data gathered through a Likert-based questionnaire disseminated among Italian risk managers. The survey reached 782 people working as risk professionals, but only 208 provided full responses. The final response rate was 26.59%.
Findings
The findings show that social influence, perception of external control and risk perception are the main predictors of risk professionals' intention to use artificial intelligence. Moreover, performance expectancy (PE) and effort expectancy (EE) of risk professionals in relation to technology implementation and use also appear to be reasonably reliable predictors.
Research limitations/implications
Thus, the study offers a precious contribution to the debate on the impact of automation and disruptive technologies in the risk management domain. It complements extant studies by tapping into cultural issues surrounding risk management and focuses on the mostly overlooked dimension of individuals.
Originality/value
Yet, thanks to its quite novel theoretical approach; it also extends the field of studies on artificial intelligence acceptance by offering fresh insights into the perceptions of risk professionals and valuable practical and policymaking implications.
Details
Keywords
Considering corporate governance (CG hereinafter) practices' variety across Anglo-American and European countries, this study relies on contingency and complexity theories to…
Abstract
Purpose
Considering corporate governance (CG hereinafter) practices' variety across Anglo-American and European countries, this study relies on contingency and complexity theories to investigate the effect of environmental sustainability performance (ESP hereinafter) on shareholder value under various configurations of board of directors (BoD hereinafter), firm and country characteristics.
Design/methodology/approach
The author used the Thomson Reuters Environment Pillar Score (ASSET4) and the Total Shareholder Return to assess ESP and shareholder value respectively. The author applied a fuzzy-set qualitative comparative analysis (fsQCA hereinafter) to an unbalanced panel of 2,284 observations from 486 European and Anglo-American non-financial listed firms over the period 2016–2020.
Findings
The author found a positive association between ESP and shareholder value and he displayed notable differences between Anglo-American and European economies regarding causal predictors of this positive association. Within European firms operating under civil law code where investor protection is low and family ownership is widespread, ESP creates shareholder value under configurations of causal predictors that significantly differ from those of their Anglo-American peers. The author's findings are robust to different identification strategies.
Practical implications
This study assists researchers, practitioners, shareholders and policymakers the significant roles that BoD diversity, organisational and institutional traits are jointly playing as determinants of the ESP-shareholder value relationship.
Originality/value
The author's study offers a more encompassing, complete and theoretically richer picture of the key drivers and outcomes of ESP.
Details
Keywords
Md. Rabiul Awal, Tahmina Akter Arzin, Md. Mirajul Islam and Md. Tareq Hasan
This techno-centric and too much busy day-to-day living style of citizens pressurizes the implementation of E-ticketing service to adapt with change. Thus, this study aims to…
Abstract
Purpose
This techno-centric and too much busy day-to-day living style of citizens pressurizes the implementation of E-ticketing service to adapt with change. Thus, this study aims to examine the factors influencing railway passengers’ E-ticketing service acceptance and usage intention in Bangladesh and to extend the widely used Technology Acceptance Model through inserting two new constructs.
Design/methodology/approach
This paper employs structural equation modeling to test model’s paths developed through theoretical research framework. Moreover, a structured questionnaire was administered at different railway stations in northern and western parts of Bangladesh to collect data. Total of 302 responses were considered for statistical analysis to test hypotheses after considering anomalies and outliers in raw data.
Findings
The study results show that technology trust (TT) has the strongest impact on passengers’ E-ticketing usage intention rather than perceived ease of use and perceived usefulness (PU). Meanwhile, the easiness of using technology to reserve tickets does matter to female passengers rather than male passengers wherein PU and TT do not do that.
Originality/value
The findings of this study might be helpful for the railway authorities to improve the ticket reservation service quality online by developing the advanced booking application and minimizing the pressure on other transportation. Therefore, this empirical study will contribute to this domain for further study that ensures full satisfaction of passengers and uplift the railway passengers’ usage intention for E-ticketing which then helps the government to implement the digitization slogan with efficiency and effectiveness.
Details
Keywords
Minhajul Islam Ukil, Ehsanul Islam Ukil, Muhammad Shariat Ullah and Abdullah Almashayekhi
Islam describes business as a legitimate means of halal income. However, little is known about what attracts people towards Islamic entrepreneurship or halalpreneurship. By…
Abstract
Purpose
Islam describes business as a legitimate means of halal income. However, little is known about what attracts people towards Islamic entrepreneurship or halalpreneurship. By applying the theory of planned behaviour, this study aims to contribute to this underexplored area by investigating the factors that affect Islamic entrepreneurial intention (IEI).
Design/methodology/approach
This study examined a mediation model using two country samples. First, the hypotheses were tested on a sample recruited from a high-income economy (i.e. Saudi Arabia) using structural equation modelling in AMOS V26. The authors then conducted a replication study to investigate the robustness of the findings using a sample recruited from a lower-middleincome economy (i.e. Bangladesh) and a different analysis technique, the PROCESS mediation model in SPSS V25.
Findings
The findings suggest that IEI depends on four antecedents, namely, attitude towards Islamic entrepreneurship, general entrepreneurial self-efficacy, Islamic entrepreneurial self-efficacy and perceived halal income. These antecedents also mediate the relationship between moral judgement and IEI.
Research limitations/implications
This study offers an empirical framework that captures several perspectives on the formation of IEI. The findings contribute to entrepreneurial intention and motivation research by suggesting factors that motivate individuals to engage in Islamic entrepreneurship.
Originality/value
The findings imply that the framework of IEI can withstand diverse socioeconomic contexts. A novel perspective of this study is that Muslims who are motivated by perceived halal income show greater interest in becoming Islamic entrepreneurs.
Details
Keywords
Vijay Amrit Raj, Sahil Singh Jasrotia and Siddharth Shankar Rai
Perceived risk and benefits have been proposed as crucial elements in consumers’ technology adoption intention. Therefore, this study aims to use the Unified Theory of Acceptance…
Abstract
Purpose
Perceived risk and benefits have been proposed as crucial elements in consumers’ technology adoption intention. Therefore, this study aims to use the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, with perceived risks and benefits, to explore how they affect consumers’ Buy-Now-Pay-Later (BNPL) behavioural intention.
Design/methodology/approach
An online survey was conducted among 537 users of BNPL. Partial least square structural equation modelling analysis was performed to examine the hypothesized relationships.
Findings
The study found that perceived benefits, performance expectancy, effort expectancy, habit and social influence increase consumers’ behavioural intention towards BNPL. In contrast, perceived risk reduces the consumer’s intention to use. Additionally, the study revealed that consumers’ intention towards BNPL services positively affects their usage.
Practical implications
The lack of information makes consumers hesitant to use BNPL. Therefore, marketers should optimize facilitating conditions, such as user-friendly interfaces, accessible resources and efficient customer support, which should be the business strategy of BNPL service providers to ensure a seamless user experience.
Originality/value
The research empirically investigates the effect of perceived benefits on consumer behavioural intention. This contribution is crucial because while there was speculation about benefits as a driving force to consumers’ adoption intention, there was a lack of sufficient empirical evidence to support it.
Details
Keywords
Wine consumer behavior has long been a topic of discussion among scholars and industry professionals aiming to understand the underlying predictors of key behavioral outcomes. To…
Abstract
Purpose
Wine consumer behavior has long been a topic of discussion among scholars and industry professionals aiming to understand the underlying predictors of key behavioral outcomes. To help explain wine consumer behavior, concepts such as involvement, expertise, loyalty, satisfaction and perceived risk are often examined. The overarching objective of this study is to determine the relationship between these predictors and their impact on wine purchase intention utilizing a meta-analytical structural equation modeling (MASEM) technique.
Design/methodology/approach
As MASEM provides substantive evidence regarding the relationships between theoretical constructs through the combination of multiple studies, the researchers’ aim is to make definitive statements about the predictors of purchase intention.
Findings
Findings revealed several relationships that support previous research but also identified relationships that contradict previous literature. This study contributes valuable insights into consumer behavior that wine brands can utilize to improve their marketing efforts.
Practical implications
Wine marketers with a greater understanding of the stronger predictors of purchase intention should be able to create marketing plans that drive wine sales.
Originality/value
Despite the abundance of research that has utilized these theoretical constructs to demonstrate their propensity for determining behavioral outcomes such as purchase intention, no previous attempts have synthesized this body of literature through the use of meta-analysis.
Details
Keywords
Yasmin Yaqub, Tanusree Dutta, Arun Kumar Singh and Abhaya Ranjan Srivastava
The study proposes to empirically test a model that illustrates how identical elements (IEs), transfer design and trainer performance as training predictors affect trainees'…
Abstract
Purpose
The study proposes to empirically test a model that illustrates how identical elements (IEs), transfer design and trainer performance as training predictors affect trainees' motivation to improve work through learning (MTIWL) and training transfer (TT) in the Indian context.
Design/methodology/approach
An online survey was conducted to validate the study model. The quantitative data collected from 360 executives and managers were analyzed using the covariance-based structural equation modeling (CB-SEM) technique.
Findings
The study finds that trainees' MTIWL has a full mediation impact between transfer design, trainer performance and TT. However, a partial mediating impact of MTIWL was found between IEs and TT.
Originality/value
This is the first study that empirically explores the mediating mechanism of MTIWL between IEs, transfer design, trainer performance and TT. This study extends the current understanding of trainees' MTIWL that links the cumulative influence of training predictors to TT.
Details
Keywords
Mariana Velykodna, Olha Charyieva, Natalia Kvitka, Kateryna Mitchenko, Oksana Shylo and Oksana Tkachenko
This study aims to develop and test multivariable psychosocial prediction models of perceived post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder…
Abstract
Purpose
This study aims to develop and test multivariable psychosocial prediction models of perceived post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder (CPTSD) symptoms development among trauma-exposed Ukrainian adults (n = 761) after 1.5 years of the 2022 Russian invasion of Ukraine.
Design/methodology/approach
This research was designed as a survey in line with the methodology of “Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis” checklist. The survey included a questionnaire on sociodemographic characteristics and specifics of trauma exposure, as well as validated self-reported inventories: The International Trauma Questionnaire, Acceptance and Action Questionnaire – version 2, Connor–Davidson Resilience Scale-10 and the Modified BBC Subjective Well-being Scale.
Findings
Regression analysis revealed different prediction models for PTSD and CPTSD symptoms, explaining 18.4% and 41.4% of their variance with five and eight predictors, respectively. Four variables were similar in predicting PTSD and CPTSD: war-relatedness of trauma, living with a friend, perceived physical health and regret for the past. War-relatedness of trauma the respondents were exposed to was among the strongest predictors for PTSD and CPTSD severity. However, living with a friend was almost equally strong in mitigating these mental consequences. Regret for past and lowly rated physical health were assessed as relatively weaker but statistically significant predictors in this study.
Originality/value
Upon the original theoretical framework, two psychosocial prediction models were developed for PTSD and CPTSD symptoms in a non-clinical sample of trauma-exposed Ukrainian adults.
Barbara Borusiak, Bartlomiej Pieranski, Aleksandra Gaweł, David B López Lluch, Krisztián Kis, Sándor Nagy, Jozsef Gal, Anna Mravcová, Jana Gálová, Blazenka Knezevic, Pavel Kotyza, Lubos Smutka and Karel Malec
Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper…
Abstract
Purpose
Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper, the authors focus on the EC of business students because of their future responsibility for business operations regarding the exploitation of natural resources. The aim of the study is to examine the predictors of business students’ environmental concern.
Design/methodology/approach
Based on the Norm Activation Model as the theoretical framework, this study hypothesizes the model of EC with two main predictors: ascription of responsibility for the environment (AOR), driven by locus of control and self-efficacy (LC/SE), and awareness of positive consequences of consumption reduction on the environment (AOC), driven by perceived environmental knowledge. Structural equation modelling was applied to confirm the conceptual model based on the responses of business students from six countries (Czech Republic, Croatia, Hungary, Poland, Slovakia and Spain) collected through an online survey.
Findings
The environmental concern of business students is predicted both by the ascription of responsibility and by awareness of consequences; however, the ascription of responsibility is a stronger predictor of EC. A strong impact was found for internal locus of control and self-efficacy on AOR, as well as a weaker influence of perceived environmental knowledge on AOC.
Originality/value
Sustainability education dedicated to business students should provide environmental knowledge and strengthen their internal locus of control and self-efficacy in an environmental context.
Details