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The purpose of this paper is to examine how information load, consumers’ regulatory focus, and prior attitudes interact to influence consumers’ response to firm crisis in the context of online discussion forum. By doing this, this study presents the solving strategy for unintended criticism in online space.

Based on selective exposure and regulatory focus theory, the author proposes that consumers’ regulatory focus and prior attitudes toward a focal firm influence the relationship between information load and selective exposure phenomenon. The data for this study are obtained from an experimental research design. Data were collected from 165 college students who have an experience with an online discussion forum.

The author finds that selective exposure is likely to occur when information load is high (vs low). More importantly, this selective exposure is influenced by regulatory focus. Prevention-focussed consumers with favorable (vs unfavorable) prior attitudes toward the target firm tend to evaluate it less favorably, whereas promotion-focussed consumers with unfavorable (vs favorable) prior attitudes are likely to evaluate it more favorably when information load is high.

Evidence is found that consumers’ regulatory focus moderates the effect of information quantity on confirmatory information search, and induces different response strategies to firm crisis information.

Organizations may fail to innovate because receivers exhibit bias against adopting creative ideas. This paper explores many motivational, cognitive, and affective factors that can cause receivers to hinder the creativity–innovation process. In particular, receivers may engage in motivated reasoning and skepticism against creative ideas, face barriers to recognizing creative value, and experience negative affect when receiving creative ideas. Each creative adoption decision point during the creativity–innovation process is an opportunity for bias to derail progress. This helps explain why innovation can be so difficult. Understanding the biases that hinder the creativity–innovation process allows individuals and organizations to take action to mitigate them.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Managerial mindset and cognitive bias can be barriers to any transformation strategy. In the case of telework, most employees express willingness to telework, yet, few firms formally enable it during regular business hours. The status quo is a daily commute to the traditional workplace. The purpose of this paper is to test framing interventions designed to harness cognitive biases through choice architecture.

Drawing upon behavioral strategy and prospect theory, this paper presents two studies: quasi-experiments with 146 senior business students and experiments in the field (replication using random assignment and extension) with 84 senior decision makers. Both studies use a one-way between-subjects design and chi-square analysis.

Findings support the proposition that, although cognitive biases can act as barriers to transformation, they can be re-framed through strategic interventions. Specifically, in both studies, there was a drastic increase in adoption simply by changing the way the choice was presented. Findings in the lab were cross-validated in the field. Observed shifts in preferences provide evidence that embedding the right reference point within communications can frame a decision choice more favorably. Findings also support that a bias for an implicitly perceived status quo can be overruled through an explicitly stated reference point.

It is an assumption of behavioral strategy that most individuals simply respond to the gains/loss framing without being influenced by other psychological or contextual factors, and though these effects dissipate through aggregation, it is a limitation nonetheless. Indeed, using an individual construct to explain an organizational phenomenon is a well-debated topic in the field of strategy, with proponents on both sides. The distinguishing factor, here, is that behavioral strategists are only interested in results at the aggregated level.

Practitioners attempting to roll out telework adoption, or any transformation, now have proven strategies for designing frames of reference that intervene against and harness the power of loss aversion and the status quo.

This paper measures micro processes that have an effect at the macro level. It explains systematic aversion to adoption as an aggregation of decision-making behavior that is seemingly subconscious. In doing so, it highlights the impact of bounded rationality perpetuated through social systems, while measuring effective interventions designed to make systematic behavior more predictable.

A novel contribution is made in designing/testing a new frame for systematic resistance to change that frames the status quo as the losing prospect. In this frame, the perceived loss is in the choice not to change, and loss aversion proves to be an effective tool for facilitating systematic change.

The purpose of this paper is to clarify the influence of status quo on information system (IS) adoption. Organizations often substantially allocate resources to leverage existing IT investments. The incumbent system deployment and the institutional environment will exert the influence on the new IS adoption of firms. The findings provide insights for explaining why firms conservatively react toward an emerging IT innovation.

The research design of the present study is consisted of the following steps. First, the related theoretical foundations of system adoption are reviewed for constructing the research framework. Second, based on the status quo bias theory, this study proposes a conceptual model. Third, the research data set was constructed through collecting manuscripts by conducting journal-by-journal searching in electronic databases. Finally, the protocol proposed by Lipsey and Wilson (2001) was used to conduct the meta-analysis.

Through a meta-analysis with 34 published studies, this study provides three observations. First, the results provide supports for the magnitude and significance of proposed relationships. Second, the relationships between status quo factors, expectations, and IS adoption are indeed related. Third, the considerable variability across effect sizes can be attributed to the type of adoption, the type of focal system, and the type of institutional pressures.

Although the meta-analytic results provide supports for the significance and magnitude of proposed relationships, the follow-up manuscripts searching and further analyses are needed.

This research presents a collective understanding of systems adoption from status quo bias perspective. The findings provide insights for further researches on IS adoption.

This paper seeks to investigate and provide empirical evidence of the interrelationships among network externalities, e‐business adoption and information asymmetry.

A conceptual model was proposed and tested using 307 completed interview cases selected from a database of 2,075 Chinese international trading companies published by the Beijing Municipal Bureau of Commerce for this study.

The results indicated that network externalities significantly influenced e‐business adoption and information asymmetry, and e‐business adoption influenced information asymmetry through information sharing and collection. A split sample analysis showed that cultural contexts significantly moderated the interrelationships among network externalities, e‐business adoption, and information asymmetry.

Data for this study were collected only from mainland China, therefore, non‐Chinese companies (foreign‐owned) operating in China may have been influenced by Chinese cultures and some of them have been localizing their operations in China. The influences of network externalities on business performance and decision making remain unclear. In addition, data were collected from self‐reported questionnaires, and thus may be subject to self‐reporting bias. Future studies should use more objective measurements to reduce the potential for self‐reporting bias.

This study contributes significantly to the literature by providing empirical evidence on interrelationships among network externalities, e‐business adoption, and information asymmetry. The findings in this study also provide valuable insights for managers to better understand the influence of network externalities on e‐business adoption.

This study contributes significantly to the literature by providing empirical evidence of the interrelationships among network externalities, e‐business adoption, and information asymmetry. The findings also provide managers with valuable insight into better understanding of the nature of these interrelationships.

The purpose of this study is to address a critical gap in enterprise resource planning (ERP) implementation process for small and medium-sized enterprises (SMEs) by acknowledging and countering cognitive biases through a cognitive bias awareness matrix model. Cognitive biases such as temporal discounting and optimism bias often skew decision-making, leading SMEs to prioritize short-term benefits over long-term sustainability or underestimate the challenges involved in ERP implementation. These biases can result in costly missteps, underutilizing ERP systems and project failure. This study enhances decision-making processes in ERP adoption by introducing a matrix that allows SMEs to self-assess their level of awareness and proactivity when addressing cognitive biases in decision-making.

The design and methodology of this research involves a structured approach using the problem-intervention-comparison-outcome-context (PICOC) framework to systematically explore the influence of cognitive biases on ERP decision-making in SMEs. The study integrates a comprehensive literature review, empirical data analysis and case studies to develop the Cognitive Bias Awareness Matrix. This matrix enables SMEs to self-assess their susceptibility to biases like temporal discounting and optimism bias, promoting proactive strategies for more informed ERP decision-making. The approach is designed to enhance SMEs’ awareness and management of cognitive biases, aiming to improve ERP implementation success rates and operational efficiency.

The findings underscore the profound impact of cognitive biases and information asymmetry on ERP system selection and implementation in SMEs. Temporal discounting often leads decision-makers to favor immediate cost-saving solutions, potentially resulting in higher long-term expenses due to the lack of scalability. Optimism bias tends to cause underestimating risks and overestimating benefits, leading to insufficient planning and resource allocation. Furthermore, information asymmetry between ERP vendors and SME decision-makers exacerbates these biases, steering choices toward options that may not fully align with the SME’s long-term interests.

The study’s primary limitation is its concentrated focus on temporal discounting and optimism bias, potentially overlooking other cognitive biases that could impact ERP decision-making in SMEs. The PICOC framework, while structuring the research effectively, may restrict the exploration of broader organizational and technological factors influencing ERP success. Future research should expand the range of cognitive biases and explore additional variables within the ERP implementation process. Incorporating a broader array of behavioral economic principles and conducting longitudinal studies could provide a more comprehensive understanding of the challenges and dynamics in ERP adoption and utilization in SMEs.

The practical implications of this study are significant for SMEs implementing ERP systems. By adopting the Cognitive Bias Awareness Matrix, SMEs can identify and mitigate cognitive biases like temporal discounting and optimism bias, leading to more rational and effective decision-making. This tool enables SMEs to shift focus from short-term gains to long-term strategic benefits, improving ERP system selection, implementation and utilization. Regular use of the matrix can help prevent costly implementation errors and enhance operational efficiency. Additionally, training programs designed around the matrix can equip SME personnel with the skills to recognize and address biases, fostering a culture of informed decision-making.

The study underscores significant social implications by enhancing decision-making within SMEs through cognitive bias awareness. By mitigating biases like temporal discounting and optimism bias, SMEs can make more socially responsible decisions, aligning their business practices with long-term sustainability and ethical standards. This shift improves operational outcomes and promotes a culture of accountability and transparency. The widespread adoption of the Cognitive Bias Awareness Matrix can lead to a more ethical business environment, where decisions are made with a deeper understanding of their long-term impacts on employees, customers and the broader community, fostering trust and sustainability in the business ecosystem.

This research introduces the original concept of the Cognitive Bias Awareness Matrix, a novel tool designed specifically for SMEs to evaluate and mitigate cognitive biases in ERP decision-making. This matrix fills a critical gap in the existing literature by providing a structured, actionable framework that effectively empowers SMEs to recognize and address biases such as temporal discounting and optimism bias. Its practical application promises to enhance decision-making processes and increase the success rates of ERP implementations. This contribution is valuable to behavioral economics and information systems, offering a unique approach to integrating cognitive insights into business technology strategies.

With the growing interest in behavioral health and medical decision-making, this systematic integrative review aims to understand research on cognitive biases in the context of consumer health information seeking and where future research opportunities may reside.

Following a systematic review protocol, 40 empirical research articles, out of 1,127 journal research papers from 12 academic databases, from 1995 to 2019, are included for review.

The study of cognitive biases in consumer health information seeking is a nascent and fast-growing phenomenon, with variety in publication venues and research methods. Among the 16 biases investigated, optimistic bias and confirmation bias have attracted most attention (46.9%). Researchers are most interested in specific disease/illness (35%) and the health factors of consumer products (17.5%). For theoretical presence, about one-third of the reviewed articles have cited behavioral economist Daniel Kahneman, although most of the references are the early works of Kahneman.

As an emerging research area, there exists plenty of cognitive biases to be investigated in the context of health information seeking. In the meantime, the adoption of more recent theoretical insights such as nudge for debiasing may enrich this research area. Health communication scientists may find incorporating the behavioral decision research framework enriches the disciplinary inquiry of health information seeking, while information scientists could use it to commence the cognitive turn of information science evolution.

Through evidence-based understanding, this review shows the potential research directions that health communication scientists and information scientists could contribute to optimize health decisions through the adoption of behavioral decision research framework.