How temporal leadership boosts employee innovative job performance

2020 ◽  
Vol 24 (1) ◽  
pp. 23-42 ◽  
Author(s):  
Juncheng Zhang ◽  
Wendelien van Eerde ◽  
Josette M.P. Gevers ◽  
Weichun Zhu
Keyword(s):  
Job Performance ◽  
Latent Variable ◽  
Structural Equation ◽  
Design Methodology ◽  
Time Pressure ◽  
Equation Modeling ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Rule Breaking ◽  
Variable Analysis

PurposeThe purpose of this paper is to examine how temporal leadership relates to employee innovative job performance through pro-social rule breaking for efficiency (PSRB_E) and vigor. As such, it draws from both motivational and affective perspectives to investigate the way in which leaders manage employees' time to boost employee innovation at work.Design/methodology/approachThis study adopts a two-source survey with coworker dyads from multiple organizations in China. Two hundred and three focal employees rated temporal leadership, time pressure and vigor. Each focal employee was rated by a coworker on PSRB_E and innovative job performance. Structural equation modeling (SEM) and bootstrapping techniques are used to examine the hypothesized relationships with the R package for latent variable analysis (i.e. lavaan).FindingsThe results suggest that temporal leadership positively relates to employees' innovative job performance through the mediations of their PRSB_E and vigor, respectively.Originality/valueThis study is one of the first that sought to understand the effect of temporal leadership on employee innovative job performance. It also casts light upon the motivational and affective mechanisms underlying such a linkage.

The effect of teaching style and academic enthusiasm of accounting and auditing students on stress, aggression, and anxiety

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arash Arianpoor ◽  
Hameed Mohsen Khayoon
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Sampling Method ◽  
Structural Model ◽  
Teaching Style ◽  
Equation Modeling ◽  
Statistical Population ◽  
Content Type ◽  
Confirmatory Factor ◽  
Negative Effect

Purpose This study aims to investigate the effect of teaching style and academic enthusiasm of Iraqi accounting and auditing students on their stress, aggression and anxiety. Design/methodology/approach The statistical population in this study consists of two parts. The first is the Iraqi accounting and auditing students in Iran and the second is the Iraqi accounting and auditing students in Iraq. By available non-probability sampling method, 62 people (Iraqi students in Iran) and 102 (Iraqi students in Iraq) were selected as samples. In this research, a questionnaire was used to collect information. The validity of the questionnaire’s structure was confirmed by confirmatory factor analysis. Also, Cronbach’s alpha coefficients in this study indicating the measurement tool’s reliability. In this research, structural equation modeling has been used to analyze and test the hypotheses. The primary criteria for determining the coefficient and evaluating the path coefficients were used to evaluate the structural model. Findings Findings indicate that in Iraqi students in Iraq and Iraqi students in Iran, teaching style negatively affects stress, aggression and accounting and auditing students’ anxiety. Also, in the group of Iraqi students in Iraq and the group of Iraqi students in Iran, the eagerness to study has a significant negative effect on accounting and auditing students’ stress and anxiety. In contrast, the effect of the desire to study accounting and auditing students’ aggression was confirmed only in Iraqi students in Iraq. Originality/value As the accounting and auditing professions are among the most stressful occupations that increase the characteristics of aggression and anxiety in the employees of that profession, the results of leading research can show that the stress, anxiety and aggression of accounting and auditing students how to reduce through training so that their stress, anxiety and aggression do not appear in the workplace and the reports of accountants and auditors are not affected.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

Job meaningfulness, employee engagement, supervisory support and job performance: a moderated-mediation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abinash Panda ◽  
Subhashis Sinha ◽  
Nikunj Kumar Jain
Keyword(s):  
Job Performance ◽  
Employee Engagement ◽  
Social Exchange ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Modeling ◽  
Conservation Of Resources ◽  
Supervisory Support ◽  
Content Type ◽  
Job Meaningfulness

PurposeGuided by social exchange, broaden and build and conservation of resources theoretical perspectives, this study explores the moderated mediating role of supervisory support (SS) on the relationship between job meaningfulness (JM) on job performance (JP) through employee engagement (EE).Design/methodology/approachField data were collected from two hundred and nineteen executives and their thirty-eight supervisors of a large paint manufacturing industry through a time-lagged research design and was analyzed with partial least squares based structural equation modeling.FindingsFindings of this study indicate that JM mediated by EE contributes to JP, which means if an employee finds one's job meaningful, she/he is likely to be more engaged emotionally, psychologically and cognitively to deliver better JP. SS is also found to be salient as it moderates both direct and indirect relationships between JM and JP through EE.Research limitations/implicationsGeneralizability of the findings of this study should be done with caution. Though the study has time-laggard data from two different sources but missing longitudinal data restricts causality of relationships/findings.Practical implicationsThese findings are relevant for organizations given that organizational leaders can create a context, by appropriate job design and engaging work context that motivates employees to perform better in their jobs. Insights of this study will be useful for organizations to curate meaningful jobs for their employees and also groom leaders with requisite skills and competencies to help subordinates perform up to their potential.Originality/valueThis study is an attempt toward a better understanding of the interplay of JM, work engagement and SS on JP in a manufacturing set-up in India, which has not been hitherto examined in Indian context.

Understanding the differences of public and private self-service technology

2014 ◽  
Vol 28 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Joel E. Collier ◽  
Daniel L. Sherrell ◽  
Emin Babakus ◽  
Alisha Blakeney Horky
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Public And Private ◽  
Content Type ◽  
Private And Public ◽  
Self Service ◽  
Self Service Technology ◽  
Individual Self ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the potential differences between types of self-service technology. Specifically, the paper explores how the dynamics of public and private self-service technology influence customers' decision to use the technology. Design/methodology/approach – Existing customers of private and public self-service technology were surveyed from the same industry. Using structural equation modeling, the authors examine how relevant self-service constructs influence evaluations and attitudes of customers across both settings. Findings – The analysis reveals that customers' control and convenience perceptions differ across public and private self-service technology. Additionally, customers placed a heavier emphasis on the hedonic or utilitarian evaluation of a service experience based on the type of self-service technology. Practical implications – For managers of self-service applications, understanding the unique differences of public and private self-service technology can aid in the implementation and adoption of the technology. By properly understanding the differences of the self-service types, managers can provide a beneficial experience to the customer. Originality/value – By identifying and describing two distinct categories of SSTs, this study allows managers and researchers to better understand how and why individuals choose to utilize individual self-service technologies. Through understanding the unique dynamics of a public and a private SST experience, retailers can determine the appropriate strategy for customer adoption based on the utilitarian or hedonic functions of the technology.

Comparing the service experience of satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model

2019 ◽  
Vol 32 (2) ◽  
pp. 301-324
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Mehak Arora
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Value For Money ◽  
Service Experience ◽  
Content Type ◽  
Survey Results ◽  
Repurchase Intent

Purpose The purpose of this study is to compare satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model and to examine the relationships in the model in terms of service experience to better understand customer needs. Design/methodology/approach The data used in this study were derived from a survey conducted among wineries in British Columbia, Canada. Analysis of survey results using the partial least squares structural equation modeling was undertaken. Sample size was 402. Findings The findings show that the SERVQUAL constructs that had the most impact on customer satisfaction and dissatisfaction were tangibility and assurance. Somewhat surprisingly, the perceived value for money construct was not significantly related to customer satisfaction but was significantly related to repurchase intent. Furthermore, all SERVQUAL constructs, except the reliability construct, were significantly related to customer satisfaction. Originality/value This study provides an overview of how wineries can improve their services to increase the number of satisfied customers.

A latent variable analysis of corporate social responsibility and firm value

2018 ◽  
Vol 44 (4) ◽  
pp. 478-494 ◽  
Author(s):  
Boonlert Jitmaneeroj
Keyword(s):  
Firm Value ◽  
Measurement Errors ◽  
Latent Variable ◽  
Fixed Effects ◽  
Latent Variable Model ◽  
Variable Model ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Corporate Social ◽  
Variable Analysis

Purpose Corporate social responsibility (CSR) has several dimensions that are inherently unobservable or measured with errors. Due to measurement errors of CSR proxies, regression analysis seems inappropriate for investigating the relationship between CSR and firm value. Accounting for CSR measurement errors, the purpose of this paper is to use a latent variable analysis to examine whether CSR affects firm value. Design/methodology/approach This study applies a latent variable model that directly takes into account the measurement errors of CSR proxies. Moreover, the inclusion of firm-fixed effects in the model controls for time-invariant unobservable firm-specific characteristics that may drive both CSR and firm value. CSR is measured by environmental, social, and corporate governance activities. Findings Based on data of US firms between 2002 and 2014, this study finds conflicting evidence of a direct association between each CSR proxy and firm value. When all CSR proxies are incorporated into a latent variable model, CSR significantly positively impacts firm value. Therefore, CSR strategies based on a single measure of CSR or the equal weighting of CSR measures tend to underestimate the influence of CSR on firm value. Practical implications Corporate managers should enhance firm value by simultaneously engaging in environmental, social, and corporate governance activities because there is a synergistic effect with firm value. Furthermore, investors who downplay CSR factors in firm valuation can lead to significant errors in making equity investment choices. Originality/value This study presents a novel examination of the price-earnings ratio in the CSR valuation by using the latent variable model with firm-fixed effects.

Linking employee perceptions and employee attitudes through their levels of organizational identification: a field investigation in India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumendu Biswas
Keyword(s):  
Social Exchange ◽  
Organizational Support ◽  
Organizational Identification ◽  
Latent Variable ◽  
Structural Equation ◽  
Employee Attitudes ◽  
Equation Modeling ◽  
Full Time ◽  
Variable Model ◽  
Content Type

PurposeDespite organizational socialization and support, contemporary managers often perceive employees to be less engaged and attached to their workplace, multiplying their workload with unsolicited vexations and worries. In this connection, the purpose of this paper is to explore and possibly confirm the ameliorative role of organizational identification as a mediator between employees' perceptions of organizational support and justice and their favorable association to their levels of engagement and attenuation of their intentions to quit.Design/methodology/approachSuitable theories such as the social exchange and fairness heuristics theories were examined to select and support the study constructs. Accordingly, the literature was reviewed to formulate the study hypotheses and connect them through a conceptual latent variable model (LVM). Data were collected from 402 full-time managerial executives all over India. The data thus collected were subjected to structural equation modeling (SEM) procedures.FindingsAll the measures used in this study had acceptable reliabilities as indicated by their Cronbach's Alpha values. Based on the SEM procedures all the study hypotheses and one of the competing LVMs labeled as LVM5 was finally accepted.Originality/valueThe distinctive feature of this study is the theoretical compilation of all the study constructs in one LVM and subsequent empirical verification of the same. This study is, perhaps, the first of its kind to examine the implications of such justice-based perceptions of social exchange relations between employees and their organizations in India more so, since it considers support and justice to complement each other as an interactive whole.

Technopreneurship intention among nonbusiness students: a quantitative assessment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro ◽  
Naimatullah Shah
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Quantitative Assessment ◽  
Predictive Power ◽  
New Venture ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

PurposeThe present study attempts to identify the predictive power of technopreneurial-related activities (TRAs), technopreneurial self-efficacy (TSE) and technopreneurial motivation (TM) on technopreneurial intention (TE) among the nonbusiness students.Design/methodology/approachA conceptual framework is developed for investigation. A quantitative approach is adopted for this research, and the data are collected from the 282 students of the different public sector universities with a survey questionnaire. The application of structural equation modeling (SEM) is applied to investigate the impact of TRAs, TSE and TM on TE.FindingsThe results of SEM found a positive and significant impact of TRAs, TSE and TM on TE among the nonbusiness students of Pakistan.Practical implicationsThe study would be beneficial for the planners and policymakers of universities to improve modes of technopreneurship. The findings may encourage the students to develop strong beliefs, abilities and skills to start a new venture. The literature of entrepreneurship and technopreneurship may further enrich with empirical evidence of the present study.Originality/valueThe study would make technopreneurs able to deal with society's challenges.

Reverse mentoring and job crafting as resources for health: a work engagement mediation model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Neha Garg ◽  
Wendy Marcinkus Murphy ◽  
Pankaj Singh
Keyword(s):  
Social Exchange ◽  
Work Engagement ◽  
Latent Variable ◽  
Structural Equation ◽  
Negative Relationship ◽  
Well Being ◽  
Job Crafting ◽  
Equation Modeling ◽  
Theoretical Frameworks ◽  
Content Type

PurposeThis paper examines whether employee-driven practices of reverse mentoring and job crafting lead to work engagement and, in turn, to higher levels of prospective mental and physical health.Design/methodology/approachIntegrating social exchange theory and the job demands and resources model as theoretical frameworks, survey data were collected from 369 Indian software developers to test the research model. Latent variable structural equation modeling was used to empirically test the hypothesized associations.FindingsThe findings reveal that both reverse mentoring and job crafting are significantly associated with work engagement. Work engagement fully mediated the negative relationship between 1) reverse mentoring and mental ill-health and 2) job crafting and physical ill-health, while it partially mediated the negative relationship between 1) reverse mentoring and physical ill-health and 2) job crafting and mental ill-health.Practical implicationsThe results demonstrate that by implementing the practices of reverse mentoring and job crafting, managers can achieve desired levels of engagement among employees and sustain organizational productivity by promoting employee health and well-being.Originality/valueThis study is one of the early attempts to empirically demonstrate the associated health outcomes of reverse mentoring and job crafting.

Exploring SMEs' behavioral intentions of participating in platform-based innovation ecosystems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
FenfenWei ◽  
Nanping Feng ◽  
Jinqi Xue ◽  
Ruxiang Zhao ◽  
Shanlin Yang
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Design Methodology ◽  
Subjective Norms ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mediation Effects ◽  
Content Type ◽  
Innovation Ecosystems ◽  
Behavior Theories

PurposeSmall- and-medium sized enterprises (SMEs) significantly contribute to the success of platform-based innovation ecosystems (PIEs). However, less is known about their behaviors and behavioral intentions (BIs) toward participating in PIEs. Considering that SMEs' BIs directly influence their behaviors and reveal the underlying logic of their behaviors, this study, therefore, focuses on SMEs' BIs and explores the antecedents to reveal the rational effects on BIs of the participation.Design/methodology/approachAn extended framework is proposed to understand SMEs' BIs toward the participation and empirically tested with data from a sample of 189 Chinese SMEs based on partial least squares structural equation modeling (PLS-SEM).FindingsThe results show that (1) the framework has a good fit in the context of PIEs and a large predictability of SMEs' BIs toward the participation; (2) as expected, SMEs' BIs are directly positively affected by their attitudes (ATTs), subjective norms (SNs) and platform leaders (PLs), while indirectly positively influenced by perceived usefulness (PU) and ease and negatively influenced by perceived risks (PRs) via mediation effects and (3) surprisingly, BIs are directly negatively affected by platforms probably because of the potential collaborative risks based on platforms.Originality/valueThis study enriches PIE literature by focusing on complementors and proposing a framework of SMEs' BI toward joining PIEs, and it also expands the application of BI–behavior theories in the context of PIEs by offering a BI–behavior perspective to analyze the rational logic of SMEs' behaviors of participating to PIEs. Practically, the main findings not only benefit SMEs to better understand their BIs and to make a wise choice toward the participation, but provide implications for PLs to proactively design interventions for attracting SMEs’ complementors.

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