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Drawing from the literature on person–environment fit and proactive personality, the purpose of this paper is to empirically examine whether congruence between the proactive personality of a leader and his/her follower is facilitative/inhibitive of creativity of the follower.

Data were collected in two waves from 355 followers and 36 corresponding leaders working in a large manufacturing company in India. Hypotheses were tested using polynomial regression analysis and response surface method.

The results indicate that leader–follower congruence in proactive personality is more likely to encourage followers’ creativity. Moreover, leader–follower congruence at higher levels of proactive personality showed higher levels of followers’ creativity than when dyads are congruent at lower levels.

Findings suggest that human resource management in organizations should consider matching leaders’ proactive personality with that of followers’ to foster employee creativity. This is critical from the perspective of recruitment and dyad formulation for jobs that demand creativity.

Research examining why and how congruence in personal characteristics between a leader and his/her follower foster followers’ creativity is at best scant. The study is a novel attempt to examine the effect of congruence in leader–follower proactive personalities on workplace creativity of the follower.

Besides diversity's positive effects, groups of “we” against “them” may form in accordance with social categorization theory, showing diversity's negative consequences. The authors aim to reconcile these results and examine their boundary conditions.

The authors studied 584 working professionals from five contexts (transnational companies dealing with multicultural interactions) and analyzed data using moderated-mediation procedures.

A leader-promoting diversity climate plays a crucial role in moderating the negative relationship between perceived dissimilarity and group identification, which is mediated by value dissimilarity.

This study mainly contributes by treating dissimilarity as a multicomponent construct, emphasizing the crucial differences embodied in various conceptualizations of dissimilarity – namely visible and value dissimilarity. For dissimilarity to result in group identification, the results highlight leaders' crucial role, beyond that of organizations and individuals, in stimulating a diversity-embracing climate in work units.

This paper aims to examine the drivers of employee creativity and organizational innovation empirically. And to study how employee creativity significantly impacts organizational innovation in a highly competitive market.

This study is grounded in positivism philosophy. The theoretical model is grounded in the dynamic capability view (DCV) and further developed ten hypotheses and sub-hypotheses. To test our research hypotheses the authors utilized psychometric-based instruments. The authors obtained 575 responses from the automobile industry in India after multiple follow-ups. The data were utilized to check the construct validity and tested the authors’ research hypotheses using the co-variance-based structural equation modeling (SEM) tool (IBM SPSS AMOS 20.0).

The results support the authors’ research hypotheses. The findings of this study conform to the previous findings of the scholars which is an important aspect of the study. In the past various scholars have made an attempt to reproduce the results in different contexts. In a way, it helps to build confidence in the scientific merit of the results. It may be considered as an incremental contribution to the literature but it helps establish confidence in the theory of creativity and innovation.

The results offer a nuanced understanding to the practitioners and policy makers to understand “what” and “how” to improve employee creativity that plays a significant role in organizational innovation.

This study is an attempt to examine how the theory of creativity and innovation can be embraced by the Indian automobile industry.

Nowadays, more interest is found among the researchers in MANETs in practical and theoretical areas and their performance under various environments. WSNs have begun to combine with the IoT via the sensing capability of Internet-connected devices and the Internet access ability of sensor nodes. It is essential to shelter the network from attacks over the Internet by keeping the secure router.

This paper plans to frame an effective literature review on diverse intrusion detection and prevention systems in Wireless Sensor Networks (WSNs) and Mobile Ad hoc NETworks (MANETs) highly suitable for security in Internet of Things (IoT) applications. The literature review is focused on various types of attacks concentrated in each contribution and the adoption of prevention and mitigation models are observed. In addition, the types of the dataset used, types of attacks concentrated, types of tools used for implementation, and performance measures analyzed in each contribution are analyzed. Finally, an attempt is made to conclude the review with several future research directions in designing and implementing IDS for MANETs that preserve the security aspects of IoT.

It observed the different attack types focused on every contribution and the adoption of prevention and mitigation models. Additionally, the used dataset types, the focused attack types, the tool types used for implementation, and the performance measures were investigated in every contribution.

This paper presents a literature review on diverse contributions of attack detection and prevention, and the stand of different machine learning and deep learning models along with the analysis of types of the dataset used, attacks concentrated, tools used for implementation and performance measures on the network security for IoT applications.