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If any organization wants to be globally recognized leadership plays an important role. This chapter deals with the leadership failure in creating good salesperson behavior in India’s pharmaceutical industry. There are four types of salesperson’s behavior: selling orientation, customer orientation, adaptive selling, and unethical selling. Selling oriented and unethical selling behaviors negatively impact customer trust and customer value, while customer orientation and adaptive are more positive. This chapter explores how senior managers can create good organization culture and organization climate by creating positive sales behavior. This chapter will be an eye opener to many first-line managers for helping their salespersons to practice customer orientation and adaptive selling behavior.

This chapter explores new and emerging dimensions in our understanding of how information behaviour develops in early childhood. Spink (2010) proposed that information behaviour — when we engage in behaviours to make sense of, seek, avoid, forage, use and organise information — is (1) shaped by both instinctive and environmental dimensions that are as essential to the lives of our prehistoric ancestors as they are for people today and (2) emerges in early childhood. This chapter explores what we currently know about the development of cognitive, language, social and information behaviour abilities in early childhood. Drawing on research from cognitive and developmental psychology, and findings from two studies of different aspects of young children's information behaviours, including Web searching (Spink, et al., 2010) and library information categorisation (Cooper, 2004), the chapter discusses information behaviour development in early childhood. The connection between general cognitive development and information behaviour are discussed, and further research suggested.

A sign of maturity of a scientific field is its theoretical growth that is based on an increased depth of understanding and a broadening of the contexts and issues addressed. Information behaviour research has grown substantially over the last 10 years, expanding from a focused exploration of utilitarian features such as problem-focused, work-related information behaviour to inclusion of aspects such as leisurely information needs and impact of spiritual information. Exploring new concepts and contexts helps to build an increasingly thorough and holistic understanding of information behaviour, which, in turn, lifts the field to a higher theoretical level.

Ever since our cognitive make-up allowed it, human beings have used their information behaviour abilities to help them survive. Information behaviour evolved in response to the need by early humans to benefit from information that could not be immediately accessible in the nearby environment or obtained through communication. Humans developed an information behaviour ability, including processes of information sense making, foraging, seeking, organising and using. Information behaviour brought several benefits to early humans, including greater influence and control over their environment, and the degree in which they could use the environment for their own gain and survival. Information behaviour thus brought several advantages for the survival of early humans, and consequently emerged as a genetically favoured trait (Spink, 2010).

This study aims to break through the limitations of previous studies that have focused too much on the individual-level effects of humble leadership. Based on the affective events theory (AET), this study provides to construct an individual-team multilevel model of humble leadership focusing on the followers’ affective reaction and attribution of intentionality.

On the basis of subordinates’ attribution of humble leadership, it is believed that there are actually two motivations for humble leadership: true intention (serve the organizational collective interest) and pseudo intention (serve the leader’s self-interest), to which subordinates have different affective reactions, causing different leadership effectiveness. Thus, this study conducted an extensive review based on the qualitative method and proposed an integrated multilevel model of leader humility on individual and team outputs.

Followers’ attribution of intentionality moderates the relationship between humble leadership and followers’ affective reaction, which also determines followers’ performance (task performance, interpersonal deviant behavior and leader–member exchange); the interaction between team leaders’ humble leadership and collective attribution of intentionality influences team outputs (team outputs, organizational deviant behavior and team–member exchange) through team affective reaction; team humble leadership affects individual outputs through affective reaction and team affective climate plays a moderating role between affective reaction and individual outputs.

This study explores the individual-team multilevel outputs of humble leadership based on the AET theory, which is relatively rare in the current field. This study attempts to incorporate leaders’ motivation (such as attributions of intentionality) into the humble leadership research, by confirming that humble leadership affects affective reaction, which further influences individual-team multilevel outputs.

Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning orientation, and innovation capabilities.

We undertake a quantitative approach using a two-wave longitudinal field survey of 440 employees and managers from various backgrounds working in the automobile industry in France.

The findings based on Structural Equation Modeling reveal that the perception of digital leadership leads to innovative work behavior while leader-member exchange moderates between the perception of digital leadership and learning orientation. The findings also support the mediating roles of learning orientation and innovation capabilities.

The study contributes important policy suggestions, raises queries for additional investigation, and suggests theoretical and practical implications for leadership and organizational environmental factors to foster innovative work behaviors in organizations.

This study applies the target similarity model to examine the effects of servant leadership on supervisor commitment and supervisor citizenship behavior. The mediating role of supervisory commitment is explored to determine the relationship between servant leadership and supervisor citizenship behavior. The difference in supervisor gender is examined in the linkage between servant leadership and supervisory commitment.

The data were collected through a survey of 478 salespeople in the retail industry. Structural equation modeling (SEM) techniques were used to verify the hypotheses of this study.

The findings showed significant support for the direct and indirect effects of servant leadership on supervisor commitment and supervisor citizenship behavior. Furthermore, the positive relationship between servant leadership and supervisory commitment was stronger among female supervisors than male supervisors.

Due to the scarcity of studies conducted on the linkages of servant leadership, supervisory commitment and supervisory citizenship behavior, this study theoretically and empirically contributes to the leadership literature as it is the first study to investigate these direct and indirect relationships. Similarly, this study examined gender differences in servant leadership to fill the gap in the research field.

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.

This research aims to understand the smartphone security behavior using protection motivation theory (PMT) and tests the current PMT model employing statistical and predictive analysis using machine learning (ML) algorithms.

This study employs a total of 241 questionnaire-based responses in a nonmandated security setting and uses multimethod approach. The research model includes both security intention and behavior making use of a valid smartphone security behavior scale. Structural equation modeling (SEM) – explanatory analysis was used in understanding the relationships. ML algorithms were employed to predict the accuracy of the PMT model in an experimental evaluation.

The results revealed that the threat-appraisal element of the PMT did not have any influence on the intention to secure smartphone while the response efficacy had a role in explaining the smartphone security intention and behavior. The ML predictive analysis showed that the protection motivation elements were able to predict smartphone security intention and behavior with an accuracy of 73%.

The findings imply that the response efficacy of the individuals be improved by cybersecurity training programs in order to enhance the protection motivation. Researchers can test other PMT models, including fear appeals to improve the predictive accuracy.

This study is the first study that makes use of theory-driven SEM analysis and data-driven ML analysis to bridge the gap between smartphone security’s theory and practice.