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With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of “information overload”. In order to do so, a concept analysis using Rodgers' approach was performed.

A concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for “information overload”, which is “cognitive overload” was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA).

The themes identified from the authors’ concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload.

Through the authors’ concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.

Drawing upon social cognitive theory, this study aims to investigate the potential predictors and consequences of social media health-misinformation seeking behavior during the coronavirus (COVID-19) pandemic.

Using a sample of 230 international students studying at Wuhan University and Beijing Language and Cultural University, China, this study employs structural equation modeling to analyze the collected data.

The results indicate that personal factors such as lack of health information literacy, environmental factors, information overload and social media peer influence have a significant effect on behavior, namely social media health-misinformation seeking behavior, which further influences outcomes, namely social media users' anxiety during the COVID-19 pandemic. In addition, both lack of health information literacy and social media peer influence have significant and direct effects on social media users' anxiety. However, the direct effect of information overload on social media users' anxiety is insignificant.

First, this study contributes to the literature on the individuals' social media health-misinformation seeking behavior, its precursors and its consequences, specifically on their mental healthcare during a pandemic situation. Second, this research is one of the pioneer studies that extend social cognitive theory to the context of social media health-misinformation seeking behavior and users' anxiety relationship.

The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.

This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.

The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.

This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.

The overload effects associated with the use of mobile information and communication technologies (MICTs) in the workplace have become increasingly prevalent. The purpose of this paper is to examine the overload effects of using MICTs at work on employees’ job satisfaction, and explore the corresponding coping strategies.

The study is grounded on the cognitive load theory and the coping model of user adaptation. The overload antecedents and coping strategies are integrated into one model. Theoretical hypotheses are tested with survey data collected from a sample of 178 employees at work in China.

The results indicate that information overload significantly reduces job satisfaction, while the influence of interruption overload on job satisfaction is not significant. Two coping strategies (information processing timeliness and job control assistant support) can significantly improve job satisfaction. Information processing timeliness significantly moderates the relationships between two types of overload effects and job satisfaction. Job control assistant support also significantly moderates the relationship between interruption overload and job satisfaction.

This study suggests that information overload and interruption overload could constitute an important index to indicate employees’ overload level when using MICTs at work. The two coping strategies provide managers with effective ways to improve employees’ job satisfaction. By taking advantage of the moderation effects of coping strategies, managers could lower employees’ evaluation of overload to an appropriate level.

This study provides a comprehensive model to examine how the overload resulting from using MICTs in the workplace affects employees’ work status, and how to cope with it. Two types of overload are conceptualized and corresponding coping strategies are identified. The measurements of principal constructs are developed and empirically validated. The results provide theoretical and practical insights on human resource management and human–computer interaction.

Data quality metadata (DQM) is a set of quality measurements associated with the data. Prior research in data quality has shown that DQM improves decision performance. The same research has also shown that DQM overloads the cognitive capacity of decision-makers. Visualization is a proven technique to reduce cognitive overload in decision-making. This paper aims to describe a prototype decision support system with a visual interface and examine its efficacy in reducing cognitive overload in the context of decision-making with DQM.

The authors describe the salient features of the prototype and following the design science paradigm, this paper evaluates its usefulness using an experimental setting.

The authors find that the interface not only reduced perceived mental demand but also improved decision performance despite added task complexity due to the presence of DQM.

A drawback of this study is the sample size. With a sample size of 51, the power of the model to draw conclusions is weakened.

In today’s decision environments, decision-makers deal with extraordinary volumes of data the quality of which is unknown or not determinable with any certainty. The interface and its evaluation offer insights into the design of decision support systems that reduce the complexity of the data and facilitate the integration of DQM into the decision tasks.

To the best of my knowledge, this is the only research to build and evaluate a decision-support prototype for structured decision-making with DQM.

In this article, we explore some of the barriers that prevent learning about grand challenges. By grand challenges, we refer to transformational social and environmental issues and the critical barriers toward addressing them. Despite recent research contributions, initiatives, and calls for action to focus on such concerns, relatively little is known about the different barriers that hinder learning about grand challenges. To explore these issues, we draw from Rayner’s (2012) concept of uncomfortable knowledge, defined as knowledge that is disagreeable to organizations because it may challenge their value base, self-perception, organizing principles, or sources of legitimacy. Focusing on the example of recent programmatic attempts to advance “responsible education” in business schools, we identify three barriers to learning about grand challenges: Cognitive overload, emotional detachment, and organizational obliviousness. We conclude by outlining several implications on how to overcome these barriers, adding to recent academic and policy debates on how to make business school education more attuned to the transformational and social challenges of our time.

Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use.

The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities.

The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress.

This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.

The use of social media is an integral part of modern life, yet the impact of social media on creativity is a paradox. Drawing on the conservation of resources theory, the authors propose that social media, as an ecological condition, both nurture and deplete resources. Accordingly, the authors investigated two inconsistent mechanisms: creative self-efficacy and ego depletion.

Study 1 established the within-person effects of social media use on creativity by tracking 64 college students for five working days. Using a sample of 493 employee–leader-matched dyads in a national bank, Study 2 tested the entire model. Study 3 is a follow-up experiment based on a sample of 160 participants.

The results consistently showed that: (1) social media use had a positive impact on creativity in general; (2) social media use increased ego depletion and creative self-efficacy, which were two inconsistent mediators; (3) hedonic use of social media reduced the negative impact of cognitive use of social media on ego depletion.

This research sheds new light on the paradox between social media use and creativity and highlights the benefits of the balanced use of social media features. This research has implications for creative stimulation and job design in digital contexts.

There has been a great interest in the literature in understanding the incidence of information technology capabilities (ITC) on innovation performance (IP). Recently, it has been proven that this relationship is mediated by organizational factors requiring an additional effort in terms of information processing in a rational and analytical manner, including strategic market orientation and absorptive capacity; however, the role of emotions in this discussion has not been widely addressed. A scenario in which emotions are inhibited, in particular, emotional capability (EC), prevents the activation of other forms of cognition relating to intuition, experience and empathy. Therefore, the purpose of this paper is to analyze the mediating effect of EC on the relationship between ITC and IP.

The authors analyzed the statistical significance of the indirect effects through structural equations.

The results show the existence of partial mediation of EC. Therefore, it is evidenced that less rational constructs, such as EC, serve as a bridge between ITC and IP, on account of the improvement in information processing, the level of information technology (IT) use and virtual communication.

This finding is quite significant because it forces innovation researchers and practitioners to reconsider the prevailing study perspective that explores only analytical mediators, which implies an additional effort in terms of rational processing of information. All this because there is a risk of accentuating the cognitive overload and increasing the levels of stress that lead employees to stop receiving and using information provided by IT services, which compromises the possibility of obtaining better results in innovation.

En la literatura ha habido un gran interés por analizar la incidencia de las capacidades de tecnologías de información (CTI) en el desempeño innovador (DI). Recientemente ha quedado claro que esta relación está mediada por factores organizacionales que implican un esfuerzo adicional en términos de procesamiento racional y analítico de información, entre ellos, la orientación estratégica al mercado y la capacidad de absorción. Sin embargo, el papel de las emociones en esta discusión no ha sido considerado. Un escenario en el que la capacidad emocional (CE) no está siendo considerada supone la no activación de otras formas de cognición relacionadas con la intuición, la experiencia y la empatía. Por lo tanto, el propósito de este artículo es analizar el efecto mediador de CE en la relación entre CTI y DI.

Se analizó la significancia estadística de los efectos indirectos mediante ecuaciones estructurales

Los resultados muestran la existencia de una mediación parcial de CE. Por lo tanto, queda evidenciado que constructos menos racionales como la capacidad emocional sirven como un puente entre CTI y el DI, por cuenta de la mejora en el procesamiento de la información, el nivel de uso de tecnologías de la información y la comunicación virtual.

Este hallazgo es bastante interesante dado que obliga a los investigadores y profesionales dedicados a la innovación a reconsiderar la perspectiva de estudio hegemónica que explora únicamente mediadores analíticos, lo cual implica un esfuerzo adicional en términos de procesamiento racional de la información. De este modo, se maximiza el riesgo de acentuar la sobrecarga cognitiva e incrementar los niveles de estrés que llevan a los empleados a dejar de recibir y utilizar la información proveniente de los servicios de TI, lo que compromete la posibilidad de obtener mejores resultados en innovación.

Transformación digital, Procesamiento de información, Pensamiento intuitivo y analítico, Innovación digital, Inteligencia emocional, COVID-19

Trabajo de investigación

Tem havido um grande interesse, na literatura, em compreender a incidência das capacidades das tecnologias da informação (CTI) no desempenho da inovação (DI). Recentemente, ficou comprovado que esta relação é mediada por fatores organizacionais que demandam um esforço adicional em termos de processamento da informação de uma forma racional e analítica, incluindo a orientação estratégica do mercado e a capacidade de absorção. Contudo, o papel das emoções nesta discussão não tem sido amplamente abordado. Um cenário em que as emoções são inibidas, em particular, a capacidade emocional (CE), impede a ativação de outras formas de cognição relacionadas com a intuição, a experiência e a empatia. Portanto, o objetivo do documento é analisar o efeito mediador da capacidade emocional na relação entre a CTI e a DI.

Analisámos o significado estatístico dos efeitos indiretos através de equações estruturais.

Os resultados mostram a existência de uma mediação parcial da CE. Portanto, é evidenciado que construções menos racionais como a CE servem de ponte entre o CTI e a DI, devido à melhoria do processamento da informação, do nível de utilização das TI e da comunicação virtual.

Esta descoberta é bastante significativa porque obriga os investigadores e profissionais da inovação a reconsiderarem a perspectiva de estudo predominante que explora apenas os mediadores analíticos, o que implica um esforço adicional em termos de processamento racional da informação. Tudo isto porque existe o risco de acentuar a sobrecarga cognitiva e aumentar os níveis de estresse que levam os funcionários a deixarem de receber e utilizar a informação fornecida pelos serviços de TI, o que compromete a possibilidade de obter melhores resultados na inovação.

Transformação digital, Processamento da informação, Pensamento intuitivo e analítico, Inovação digital, Inteligência emocional, COVID-19

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