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Past research suggests that heavy media multitaskers (HMMs) perform worse on tasks that require executive control, compared to light media multitaskers (LMMs). This paper aims to investigate whether individual differences between HMMs and LMMs make them respond differently to advertising in a media multitasking context and whether this stems from differences in the ability versus the motivation to regulate one’s attention. This is investigated by manipulating participants’ autonomy over attention allocation.

For the first study (n = 85), a between subjects design with three conditions was used: sequential, multitasking under low autonomy over attention allocation and multitasking under high autonomy over attention allocation. This study investigated the inhibitory control of HMMs vs LMMs in a very controlled multitasking setting. The second study (n = 91) replicated the design of study one in a more naturalistic media multitasking setting and investigated the driving role of motivation vs ability for cognitive load differences between HMMs and LMMs and the consequent impact on advertising effectiveness.

Study I suggests that HMMs perform worse on a response inhibition task than LMMs after multitasking freely (in which case motivation to regulate attention determines the process), but not after their attention was guided externally by the experimenter (in which case their motivation could no longer determine the process). Study II argues that when motivation to switch attention is at play, cognitive load differences occur between HMMs and LMMs. This study additionally reveals that under these circumstances, HMMs are more persuaded by advertisements (report higher purchase intentions) compared to LMMs, while no differences appear when only ability is at play.

Executive control exists of different components (Miyake et al., 2000). The current study only focused on the impact of media multitasking frequency on response inhibition, but it would be interesting for future research to investigate whether media multitasking frequency equally affects the other sub-dimensions. Additionally, the impairment of response inhibition has been shown to predict a large number of other behavioral and impulse-control outcomes such as unhealthy food choices and alcohol and drug use (e.g. Friese et al., 2008). Future research should consider investigating other consequences of heavy media multitasking behavior, both advertising related and unrelated.

From a practical point of view, understanding the mechanisms that are driving the effects of media multitasking on advertising effectiveness for different groups of media-consumers could make it easier for practitioners to efficiently plan their media campaigns. Based on the findings of this study, the authors can derive that HMMs will be more depleted in cognitive resources and inhibitory control when media multitasking compared to LMMs. Consequently, this makes them more prone to advertising messages. This knowledge is of great importance for advertisers who could, based here on, aim to target HMMs more often than LMMs.

Two experimental studies by the authors confirm and add value to previous academic findings about the negative relation between media multitasking frequency and tasks that demand executive control. This study contributed to the previous by investigating whether individual differences between heavy and light media multitaskers make them respond differently toward advertising and whether the driving mechanism of these differences is a lack of motivation or ability to efficiently shift attention.

The study examines the role that societal levels of self-control – behavioral and cognitive self-control – play in shaping entrepreneurial intentions after both favorable and unfavorable prior exits.

Using Global Entrepreneurship Monitor (GEM) data set on the nature of entrepreneurial exits from 32 countries between 2007 and 2010 and supplementing this data set with country-level scores of behavioral and cognitive self-controls, the authors test five hypotheses on the effects of societal levels of self-control on post-exit entrepreneurial intentions.

The study finds that individuals who exit entrepreneurship for negative reasons (versus positive reasons) are more likely to form entrepreneurial intentions. Further, societal levels of self-control moderate this likelihood.

The study invokes the psychological construct of self-control in the context of entrepreneurship. The novelty lies in rendering self-control as also a higher order societal level construct and then also empirically testing the role that societal self-control plays in shaping entrepreneurial intentions after prior exits. Societal self-control accounts for cross-country variance in why individuals in some societies are better suited and capable to return to entrepreneurship despite unfavorable prior exits.

Pew and Mavor (1998) called for an integrative representation of human behavior for use in models of individual combatants and organizations. Models with integrated representation of behavior have only been achieved at rudimentary levels according to those performing the studies (e.g. Pew & Mavor, 1998; Tulving, 2002) and those building the models (e.g. Warwick et al., 2002). This chapter will address aspects of cognitive performance that are important to incorporate into models of combat based on acceptance of theory, strength of empirical data, or for other reasons such as to bridge gaps where incomplete knowledge exists about cognitive behavior and performance. As a starting point, this chapter will assess which of Pew and Mavor’s recommendations are still appropriate as determined by a review of selected literature on cognition and its representation. We will also provide some review and extensions of key literature on cognition and modeling and suggest a way ahead to close the remaining gaps. Different aspects of cognition are described with recent findings, and most are followed by an example of how they have been represented in computer models or a discussion of challenges to their representation in modeling.

The purpose of this paper was to develop a comprehensive best practices checklist that can be used by governing bodies to identify and evaluate an enterprise’s risk exposure around cognitive systems (CSs) and formulate mitigating internal controls that can address these risks.

COBIT 5 was scrutinised to identify the processes which are necessary for the effective governance of CSs. The applicable processes were used to identify significant risks relating to cognitive computing (CC), as well as to develop a best practices control checklist.

The research output developed was a best practices checklist and executive summary that would assist enterprises in evaluating their CC risk exposure and assess the adequacy of existing controls. The first checklist highlights the incremental risk exposure which needs to be addressed. To evaluate the effectiveness of the cognitive computing control structure, a best practices checklist was developed that can be used by internal auditors and risk and audit committees. An executive summary was developed to highlight the key focus areas that governing bodies need to consider.

The checklist provides a tool to assess the enterprises’ risk exposure, evaluate the existing CC control mechanisms and identify areas that require management attention.

The checklists and executive summary developed provides enterprises with a comprehensive checklist that can be used, while at the same time allowing them to discharge their responsibility in terms of King IV.

Focusing on decisional control of the outcome provides only a partial picture of how firms may handle customer complaints and ignores many (alternative) opportunities to recover the relationship with the customer when service delivery fails. The purpose of this paper is to introduce other types of control and explore their effects.

This paper conducts a field study using survey instruments to collect data from real consumers, which are subsequently analyzed with structural equations modeling.

The main conclusion of this study is that there is more to control than having a choice. Different types of control have differential main effects: behavioral control affects distributive justice, cognitive control affects procedural justice and decisional control affects interactional justice (which in turn affect satisfaction and loyalty).

Service recovery research should include behavioral, cognitive and decisional control of the service recovery as aspects of the firm’s organizational response to customer complaints. The effects of these customer control types on satisfaction and loyalty are mediated by dimensions of justice.

Firms should offer complaining customers information to interpret and appraise the failure (cognitive control), opportunities to personally take action and influence the recovery (behavioral control), and choices in the recovery process and outcome (decisional control).

This study is the first to offer a comprehensive investigation of the subtle interrelationships between types of control and dimensions of justice in a service recovery context.

The primary purpose of the current study was to examine how the presence of two digital ad features – an ad skip option and an ad time display, representing behavioral and cognitive control, respectively – might influence viewer response to in-stream video ads in terms of perceived control, reactance and advertising outcomes.

A 2 (Ad skip option: presence vs. absence) × 2 (Ad time display: presence vs absence) between-subjects experiment was conducted online with 217 participants recruited via Qualtrics.

The results of the online experiment show that the presence of the ad skip option and ad time display related to a higher level of perceived control, predicting lower ad intrusiveness and ad irritation and more favorable attitude toward the ad.

The findings confirm that an ad skip option and an ad time display could minimize negative responses to in-stream video ads by increasing perceived control and reducing viewer reactance.

The findings provide empirical evidence that multiple dimensions of control features (i.e. behavioral and cognitive) can increase perceived control and strengthen its impact on advertising outcomes.

The purpose of this paper is to conduct systematic reviews on Indonesian papers, to examine the most recent evidence of the efficacy of the combination of cognitive training and physical exercise, and to make recommendations in order to improve prevention, care and treatment services in elderly patients with mild cognitive impairment (MCI).

The databases of Cochrane, Medline, NIH (US National Library Medicine), ProQuest, EbscoHost, Clinical Key, EMBASE, Medical Librarian (TWE) in Ovid, Science Direct, Scopus, The Lancet Global Health, PubMed, Emerald, Indonesian National Library, Google Scholar, Google Indonesia, and Garuda Portal were systematically searched using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to obtain empirical papers published between June 1976 and January 2018.

Out of the 3,293 articles collected, 10 were included in this analysis. The result of this combined meta-analysis compares the combination therapy group (cognitive therapy and physical exercise) with a control group. It shows that the control group was likely to experience MCI 1.65 times more often than the combination therapy group. According to the result acquired from the synthesized meta-analysis, the control group experienced MCI 1.65 times higher than the combination therapy. The finding is proven to be statistically significant (95% CI= 1.42–1.93).

The research considers only English and Indonesian articles.

It is important to explore the most effective training characteristics in a special combined intervention differentiated by the duration, frequency, intervention, type and combination mode. There is a need for further investigation that focuses on the physiological mechanisms underlying the positive effects, by inserting a more comprehensive neuro-imaging measurement to assess specifically the domain that benefits in terms of cognitive functions and molecular markers. Finally, exploratory studies are definitely required, which will specifically examine maintenance and treatment effects as well as derive theoretical explanations related to the interventions and predictors.

A combination of cognitive training and physical exercise intervention may improve the global health or cognitive functions.

A combination of cognitive training and physical exercise has been found to improve prevention, care and treatment services in elderly patients with MCI. There is an increase in value in comparison to the study of Karssemeijer, which considered five Indonesian articles.

The purpose of this paper is to develop an automated disassembly cell that is flexible and robust to the physical variations of a product. In this way it is capable of dealing with any model of product, regardless of the level of detail in the supplied information.

The concept of cognitive robotics is used to replicate human level expertise in terms of perception and decision making. As a result, difficulties with respect to the uncertainties and variations of the product in the disassembly process are resolved.

Cognitive functions, namely reasoning and execution monitoring, can be used in basic behaviour control to address problems in variations of the disassembly process due to variations in the product's structure particularly across different models of the product.

The paper provides a practical approach to formulating the disassembly domain and behaviour control of the cognitive robotic agent via a high‐level logical programming language that combines domain‐specific heuristic knowledge with search to deal with variations in products and uncertainties that arise during the disassembly process.

Full disassembly automation that is flexible and robust to the uncertainties that may arise potentially replaces human labour in a difficult and hazardous task. Consequently, the disassembly process will be more economically feasible, especially in developed countries.

The paper provides a practical approach to the basic cognitive functions that replicate the human expert's behaviour to the disassembly cell.

This chapter introduces electroencephalography (EEG), a measure of neurophysiological activity, as a critical method for investigating individual and team decision-making and cognition. EEG is a useful tool for expanding the theoretical and research horizons in organizational cognitive neuroscience, with a lower financial cost and higher portability than other neuroimaging methods (e.g., functional magnetic resonance imaging). This chapter briefly reviews past work that has applied cognitive neuroscience methods to investigate cognitive processes and outcomes. The focus is on describing contemporary EEG measures that reflect individual cognition and compare them to complementary measures in the field of psychology and management. The authors discuss how neurobiological measures of cognition relate to and may predict both individual cognitive performance and team cognitive performance (decision-making). This chapter aims to assist scholars in the field of managerial and organizational cognition in understanding the complementarity between psychological and neurophysiological methods, and how they may be combined to develop new hypotheses in the intersection of these research fields.

The main purpose of the current work is high quality video transmission over cognitive radio wireless networks.

A soft computing technique based on fuzzy logic concept is introduced that can reduce the blocking probability and increase the perceived quality of video users.

It is found that by using soft computing techniques it is possible to increase the perceived quality and reduce the blocking probability in cognitive radio networks for secondary video users.

The main originality of this paper is twofold: at first the design philosophy in admission is quality of experience centric and second, soft computing techniques are used to decrease the blocking probability in cognitive networks.