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This article describes the development of a measure of role conflict. Role conflict was conceptualized as consisting of four dimensions: intrasender, intersender, interrotle, and person‐role conflict respectively. Study 1 (N = 65), which was conducted to pilot test the 96 item questionnaire (reduced from 224 items after expert rating), resulted in the reduction of the questionnaire to 43 items with three interpretable dimensions. Study 2 (N = 100) was carried out to examine the construct validity of the scale and confirm the factor structure. There was convergence with the findings of Study 1. Cronbach alpha for each subscale was adequate, and evidence of concurrent, convergent, and discriminant validities was found. Study 3 (N = 242) attempted to provide some normative data for the measure, in addition to carrying out a confirmatory factor analysis (CFA) using LISREL. The findings of Study 2 were almost duplicated, and the CFA results lent greater support to a three‐factor structure of role conflict.

The study examined the relationship between e-learning usage, creativity, e-learning utility and academic performance among undergraduate (UG) and postgraduate (PG) students at Banaras Hindu University (BHU), India.

The data from 480 students were collected using a cross-sectional survey design. Pearson correlation analysis was performed in order to investigate the association between the variables.

The results revealed a significant positive correlation between time of use and academic performance (r = 0.294, p < 0.01). However, there was no significant correlation between time of use and the usability of e-learning in the attainment of learning outcomes. Furthermore, there was a negative correlation between time of use and creativity (r = −0.170, p < 0.01).

The results indicate that educators ought to promote consistent utilization of e-learning platforms to enhance scholarly achievements. However, learners should exercise prudence in their usage, as an over-reliance on these platforms may impede their creativity.

This study contributes to the existing body of knowledge regarding the impacts of e-learning on students' academic performance and creativity. Additionally, it offers instructing professionals and students who make use of e-learning platforms information that might be helpful to them.

This study aims to map and analyze health-care pricing information research. This work highlights current gap in pricing information research in health care and proposes future research avenues to academia and industry professionals.

A bibliometric method was adopted to analyze extant literature on pricing information asymmetry. Semistructured interviews were conducted with key stakeholders in health care to triangulate the findings.

Pricing information is crucial for all stakeholders including health-care consumers, providers and regulators. The popular research areas were the rising health-care cost, cost-saving, outcome-based pricing, price based on service supply and demand, insurance and out-of-pocket spending. Cost–quality perceived linkages, cost–demand correlation in health-care service and cost–price interlinked drivers were the dominant themes in extant literature. The study highlighted that pricing information asymmetry pushed patients from weaker sections into a debt trap due to unplanned out-of-pocket health-care expenses. The study suggests areas of research to minimize this pricing information asymmetry.

The emerging themes in health pricing asymmetry will help key stakeholders to identify areas for improvement and take remedial actions in the health-care domain.

This study is a pioneering effort to summarize extant literature published in the health-care information pricing domain and analyze it from a bibliometric perspective. The study also triangulates the finding with primary data from key stakeholders and highlights emerging research areas.

This paper aims to incorporate a hybridized advanced sine-cosine algorithm (ASCA) and advanced ant colony optimization (AACO) technique for optimal path search with control over multiple mobile robots in static and dynamic unknown environments.

The controller for ASCA and AACO is designed and implemented through MATLAB simulation coupled with real-time experiments in various environments. Whenever the sensors detect obstacles, ASCA is applied to find their global best positions within the sensing range, following which AACO is activated to choose the next stand-point. This is how the robot travels to the specified target point.

Navigational analysis is carried out by implementing the technique developed here using single and multiple mobile robots. Its efficiency is authenticated through the comparison between simulation and experimental results. Further, the proposed technique is found to be more efficient when compared with existing methodologies. Significant improvements of about 10.21 per cent in path length are achieved along with better control over these.

Systematic presentation of the proposed technique attracts a wide readership among researchers where AI technique is the application criteria.

The purpose of the present study is to contribute to the debate on innovative work behaviour (IWB). Employees are expected to exhibit innovative behaviour that can realize, sustain and implement new ideas. This study explores the role of workplace spirituality (WPS) in advancing employees' innovative work behaviour (IWB). Furthermore, this study investigates how employees' perceived working conditions moderate the relationship between WPS and IWB.

The sample comprised 516 employees working in different supply chain companies in India. The researchers used correlation, hierarchical regression analysis and the PROCESS macro in SPSS.

The results highlighted that the four measurements of WPS (Swadharma, a sense of community, authenticity and Lokasangraha) significantly predict IWB among employees of selected companies. Also, the results suggested the significant moderating effects of decision authority, social support and autonomy on IWB.

Drawing from broaden and build theory and theory of intangible resources, the present study demonstrates that WPS positively impacts the employee's IWB. Further, this paper also shows the moderating effects of three dimensions of perceived working conditions between WPS and IWB, which is under-explored in previous research.

This paper presents a systematic literature review aiming at analysing how research has addressed performance measurement systems’ (PMSs) ambiguities in the public sector. This paper embraces the ambiguity perspective that PMSs in public sector coexist with and cope with existing ambiguities.

The authors conducted a literature review in Scopus and ScienceDirect, considering articles published since 1985, and the authors selected articles published in the journals included in the Association of Business Schools' Academic Journal Guide (Chartered ABS, 2018). Of the 1,278 abstracts that matched the study’s search criteria, the authors selected 131 articles for full reading and 37 articles for the final discussion.

The study's key findings concern the elements of ambiguity in PMSs discussed in the literature. The study’s results suggest that ambiguity is still a relevant problem in performance measurement, as a problem that is impossible to be solved and therefore needs to be better understood by researchers and public managers. The analysis allows us to summarize the antecedents and consequences of ambiguity in the public sector.

The key findings of the study concern the main sources of ambiguity in PMSs discussed in the literature, their antecedents and their consequences. The study results suggest that ambiguity exists in performance measurement and that is an issue to be handled with various strategies that can be implemented by managers and employees.

Managers and researchers may benefit from this research as it may represent a guideline to understand ambiguities in their organizations or in field research. Researchers may also benefit from a summary list of the key issues that have been analysed in the empirical cases provided by this research.

This research may provide insights to limit ambiguity and thus contribute to improve performance measurement in the public sector.

This research presents a comprehensive review on the topic. It provides insight that suggests what future research should attend to in helping to interpret ambiguity, considering also what should be done to influence ambiguity.

Public sector employees’ contributions play a crucial role in improving public service quality and promoting the image of public organizations. The aim of this research is to unravel how and when human resource (HR) flexibility activates citizen-oriented boundary-spanning behaviors among public sector employees.

The data were collected from 427 public sector employees and 102 supervisors working for governmental agencies from the districts of a major city in Vietnam. Multilevel structural equation modeling (MSEM) was employed to analyze the data.

The positive associations between HR flexibility and the three dimensions of citizen-oriented boundary-spanning behaviors were supported. Harmonious passion demonstrated a mediating path for such linkages. Employee perceptions of normative public values were found to exert a positive moderating effect on the positive link between HR flexibility and harmonious passion, as well as their indirect link via harmonious passion.

This study advances the literature by identifying how and when HR flexibility shapes citizen-oriented boundary-spanning behaviors among public sector employees.

Vaping has become a prominent public health problem that has impacted young adults. The purpose of this study is to empirically examine the effects of different intrinsic and extrinsic motivations on young adults’ realization of excessive vaping and their intention to quit vaping.

A survey was used to collect data from 232 young vapers (primarily Generation Z and Millennials) to test the hypothesized relationships using a covariance-based structural equation model.

The findings of this study suggest that “realization of excessive vaping” is negatively associated with “sensation seeking” and positively associated with “deal proneness,” “environmental cues” and “negative repercussion.” The “intention to quit vaping” is negatively associated with “marketing cues” and positively associated with “alternative to smoking” and “environmental cues.” Finally, the “realization of excessive vaping” is positively associated with “intention to quit vaping.”

This study takes a two-dimensional approach to understand the complex motivations behind a relatively new addictive behavior – vaping. It contributes to the literature of addictive behavior, social cognitive theory and theory of planned behavior. Further, it has important implications for public policy and the marketing of addictive products to youths.

According to the World Health Organization, arrhythmia is one of the primary causes of deaths across the globe. In order to reduce mortality rate, cardiovascular disease should be properly identified and the proper treatment for the same should be immediately provided to the patients. The objective of this paper was to implement a better heartbeat classification model which will work better than the other implemented heartbeat classification methods.

In this paper, the ensemble of two deep learning models is proposed to classify the MIT-BIH arrhythmia database into four different classes according to ANSI-AAMI standards. First, a convolutional neural network (CNN) model is used to classify heartbeats on a raw data set. Secondly, four features (wavelets, R-R intervals, morphological and higher-order statistics) are extracted from the data set and then applied to a long short-term memory (LSTM) model to classify the heartbeats. Finally, the ensemble of CNN and LSTM model with sum rule, product rule and majority voting has been used to identify the heartbeat classes.

Among these, the highest accuracy obtained is 98.58% using ensemble method with product rule. The results show that the ensemble of CNN and BLSTM has offered satisfactory performance compared to other techniques discussed in this study.

In this study, we have developed a new combination of two deep learning models to enhance the performance of arrhythmia classification using segmentation of input ECG signals. The contributions of this study are as follows: First, a deep CNN model is built to classify ECG heartbeat using a raw data set. Second, four types of features (R-R interval, HOS, morphological and wavelet) were extracted from the raw data set and then applied to the bidirectional LSTM model to classify the ECG heartbeat. Third, combination rules (sum rules, product rules and majority voting rules) were tested to ensure the accumulated probabilities of the CNN and LSTM models.

Leadership can cultivate shared understandings of goals within organizations. Transformational leaders engage in vision-sharing, whereas transactional leaders apply contingent rewards and sanctions. To set the stage for better performing organizations, public managers could lead in ways to improve the communication that flows internally in public organizations, defined as the internal communication performance. Previous studies have linked transformational leadership with internal communication performance in public organizations, but no studies have considered the broader array of leadership strategies and their combination. The purpose of this study is to assess the strength of the relationship between different forms of leadership (transformational and transactional) and internal communication.

The study is based on a balanced panel dataset of 751 employees.

The analysis corroborates the existing findings of a relationship between transformational and internal communication, and it identifies a relationship between transactional leadership through verbal rewards and internal communication.

In so doing, the study brings new insights to our understanding of how leaders in public organizations can improve the internal communication in their organizations, which has been linked to, among others, how employees themselves perceive the red tape and performance within public organizations.