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The multitasking phenomenon has been prevailing in the technology-driven information environment. People are engaged in multitasking to process information and deal with personal and professional information tasks. This study aims to explore the external predictors of multitasking information behavior (MIB) of library and information science (LIS) professionals from Pakistan.

This is a quantitative study based on a questionnaire survey, and data was collected through Google Form; the link was shared via e-mail and WhatsApp to get maximum responses. The sampling includes the LIS professionals working in Higher Education Commission-recognized universities of Khyber Pakhtunkhwa (KPK), Pakistan. A total of 126 responses were received from 41 universities of KPK.

Pearson correlation and regression were applied by using SPSS for data analysis. The findings revealed that time pressure (TP) is a good predictor of multitasking because when professionals got tasks with deadlines, they try to perform multiple activities at a time. Therefore, TP is a predictor of human MIB. This study also revealed that the work environment is a less significant predictor of MIB, and the use of multiple information resources is a weak predictor of MIB. It is noted that individual covariates were not predictors of the multitasking information. However, TP was the most significant predictor among all the contextual and individual factors predicting MIB.

This research line is significant because MIB is a new dimension of human information behavior among LIS professionals. The findings are beneficial for LIS professionals to increase their work productivity and performance by rationalizing the significant predictors.

To the best of the authors’ knowledge, no such study is available that highlighted the MIB among LIS professionals. Therefore, this study will highlight external factors’ effects on LIS professionals’ MIB. This study will contribute to the literature on libraries and information management as this study describes the LIS professionals’ behavior.

Recent studies show that humans engage in multitasking information behaviors, often in libraries, as they seek and search for information on more than one information task. Multitasking information behaviors may consist of library search and use behaviors, or database or Web search sessions on multiple information tasks. However, few human information behavior models of seeking, searching or use, or library use models, include considerations of multitasking information behavior. This paper reports results from a case study exploring multitasking information behavior by an information seeker in a public library using diary, observation and interview data collection techniques. The information seeker sought information on four unrelated personal information tasks during two public library visits. Findings include a taxonomy of information behaviors; a sequential flowchart of the information seeker's complex and iterative processes, including multitasking information behavior, electronic searches, physical library searches, serendipitous browsing, and successive searches; and that the information seeker engaged in a process of 17 information task switches over two library visits. A model of information multitasking and information task switching is presented. Implications for library services and bibliographic instruction are also discussed.

During multitasking, humans handle multiple tasks through task switching or engage in multitasking information behaviors. For example, a user switches between seeking new kitchen information and medical information. Recent studies provide insights these complex multitasking human information behaviors (HIB). However, limited studies have examined the interplay between information and non‐information tasks.

The goal of the paper was to examine the interplay of information and non‐information task behaviors.

This paper explores and speculates on a new direction in HIB research. The nature of HIB as a multitasking activity including the interplay of information and non‐information behavior tasks, and the relation between multitasking information behavior to cognitive style and individual differences, is discussed. A model of multitasking between information and non‐information behavior tasks is proposed.

Multitasking information behavior models should include the interplay of information and non‐information tasks, and individual differences and cognitive styles.

The paper is the first information science theoretical examination of the interplay between information and non‐information tasks.

Given the environmental turbulence surrounding organizations today, polychronicity – the preference to attend to more than one task simultaneously – may be an increasingly important characteristic of individuals, groups, and organizations. Polychronicity and its behavioral counterpart, multitasking, are inextricably linked, but high levels of polychronicity may not lead to productive multitasking behavior, as multitasking can vary tremendously in its implementation and effectiveness. This commentary offers further clarification of the differences between polychronicity and multitasking, and it explores the role of task performance strategies in multitasking behavior.

The study aims to give a descriptive account of university students’ engagement with non-learning-related activities during class time and explore the relationship between off-task multitasking and learning. The predictive factors for off-task multitasking from individual, social and class-related dimensions are also examined.

Contextualized in a comprehensive university in Hong Kong, the study adopts a survey design and involves 79 samples.

The data show that Hong Kong university students are avid users of mobile phones and heavily engage with digital devices. Off-task multitasking with mobile phones is a common phenomenon, yet not related to learning performance. Among the various media and apps on mobile phones, instant messenger stands out as the most frequently used app on a daily basis and inside the classroom. The individual device-use habit and classroom engagement are significant predictors for off-task multitasking during class time.

This paper will allow teachers and students to be more aware of the causes and effects of off-task multitasking behaviors during class time and derive practical guidance and strategies to pay heed to and resist the disruptive influence of technologies on learning.

The existing scholarly work show a mixed and incomplete picture regarding the effects and determining factors of students’ multitasking. This study includes three variables from individual, social and teaching/learning dimensions and seeks to evaluate their predictive strengths. The results of the study will deepen our understanding of the patterns of off-task multitasking.

This chapter aims to provide an overview and conceptualization of multiscreening in the field of advertising effectiveness.

By means of the multi-dimensions of media multitasking, it is possible to differentiate different forms of media multitasking. This framework is used to describe and explain the phenomenon of multiscreening. The framework consists of four categories each with its own dimensions: (1) task relations (e.g., task hierarchy, task switch, shared modality), (2) task inputs (e.g., information flow), (3) task outputs (e.g., behavioral responses), and (4) user differences. The description of multiscreening per dimensions is completed with a review of recent literature in the field of multiscreening, media multitasking and persuasion.

Literature in the field of media multitasking often assumes detrimental effects. Practical implications for advertisers are discussed by presenting an overview of the existing literature on multiscreening and advertising effectiveness. At the end of the chapter, a summary of the different dimensions is presented and an answer is formulated to the question: Is multiscreening a challenge or opportunity for advertisers?

In addition to practical implications, this chapter also offers an overview of the current research in the field of multiscreening and advertising effects. By presenting recent literature in this field, it becomes clear where knowledge is lacking. Directions for future research are discussed.

This chapter is the first to present a structured overview of the phenomenon of multiscreening. It will provide practitioners and researchers with the current status in the field of multiscreening and advertising effectiveness. In addition, the chapter can also be seen as a guide for future directions in the field of multiscreening.

The purpose of this paper is to uncover the underlying motives for individuals’ polychronicity, the preference to multitask with media.

For this exploratory study, a qualitative research design is chosen, using face-to-face in-depth interviews and triad groups. In total, 34 in-depth interviews are conducted in the UK, Germany and Australia, with four subsequent triads in the UK.

The underlying motives for individuals’ preference for multiple media use include eight dimensions: comfort with multitasking; multi-channel preference; effectiveness and efficiency; convenience; emotional gratification; information and knowledge; social benefits and assimilation.

A non-probability sample of a specific sample group (Digital Natives) is used in this study and despite the reassurance provided by quality criteria and triangulation, generalisation from this study is problematic. Future research to validate the eight exposed dimensions would be valuable.

For marketing communications and media channel planners, endeavouring to optimise clients’ budgets, the unique knowledge provided by the depth of understanding offered by the eight dimensions of polychronicity and their associated facets enables the development of relevant communication campaigns.

This paper presents a unique insight into individuals’ preference for multiple media use, uncovering the underlying dimensions of this behavioural phenomenon. Accordingly, this study makes a valuable contribution to knowledge in this emerging research domain.

The study's purpose was to explore the impact of multitasking on efficiency and accuracy and the relationship between individual differences and multitasking ability.

An experimental study was conducted with individuals that completed an in-box exercise and a personality assessment. Three groups were established as follows: those that completed the in-box exercise without interruption (control group), those that were given a portion of the same initial task but were then interrupted and given an additional task (low multitask group) and those that were given the same initial tasks, then interrupted three times (high multitask group).

The results show that there were significant effects of gender and age on multitasking efficiency. Females made fewer errors than males. Younger and older participants took more time to complete the experiment, which indicates an inverted U relationship and may mean that people become more effective at multitasking with experience and practice, but then less effective as they get older. The study also found that personality had no significant effect on multitasking efficiency.

The study was limited in that the sample was 91 percent female, did not include anyone over the age of 51 and did not measure intelligence or experience.

The findings may have implications for employee training, evaluation and formulation of workplace standards and regulations.

This study provides empirical research extending the understanding of the nature and impact of multitasking and individual differences based on gender, age and personality.

This study compares two methods of data collection for students' social behaviors. One method employed time sampling procedures, while the other method used handheld computerized devices and the Multi-Option Observation System for Experimental Studies (MOOSES) system. Both coding systems were used to assess social behaviors of students with emotional disabilities during writing instruction. The middle-school-aged students, all classified as having EBD, were enrolled in classes to improve their written expression. Students were assessed for on-task, off-task, and multitask behaviors. Results revealed some surprising differences. When students were relatively consistent with attendance and on-task behaviors, the methods yielded comparable results; however, when students were more disruptive and demonstrated more inconsistent behaviors, different patterns emerged. Implications and recommendations for future research and practice are discussed.

This paper aims to explore the role of ethical climate as an antecedent of polychronicity, then in turn the effect of polychronicity on frontline employees’ service innovative behaviours (SIBE) and error strain and the moderating role of organization mission fulfilment in these relationships in a hotel job context in Penang, Malaysia.

In the current study, the data were collected from 312 frontline employees in the survey premises. A partial least square approach of the structural equation modelling technique (PLS-SEM) was used to test the associations among study variables.

The study findings reveal that ethical climate had positive impact on polychronicity. Significantly, polychronicity made positive influence on SIBEs and negative influence on error strain. Organization mission fulfilment was found to boost the influence of ethical climate on polychronicity. Finally, while organization mission fulfilment was found to boost the positive influence of polychronicity on SIBEs, on the other hand, buffers the negative impact of polychronicity on error strain.

The present study procures implications for practitioners in terms of establishing ethical climate in work environment and maximizing the frontline employees’ SIBEs while minimizing error strain. In addition, this research procures valuable implications to apply efficient managerial tools and improve job results in the lodging industry context of Peninsular Malaysia.

This study by investigating the untested associations such as the influence of polychronicity on frontline employees’ SIBEs and error strain contributes to the related literature.