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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.

To provide better services to customers, especially immediate responses and 24/7 availability, businesses are implementing text-based automated conversational agents, i.e. chatbots on their social platforms and websites. Chatbots are required to not only provide customers with necessary consultancy and guidance but also communicate friendly and socially. Based on the cognitive fit theory, this study attempts to examine the role of chatbot as a decision aid and how the match between information presentation in forms of decisional guidance and communication style and the shopping task influences consumers' perceived cognitive fit and decision performance outcomes.

A 2 x 2 x 2 between subject online experiment was conducted to identify which kind of decisional guidance (suggestive and informative guidance) and communication style (task-oriented vs social-oriented style) are the most appropriate for each type of shopping task (searching vs browsing task).

The findings show that when customers interact with chatbots, they will perceive higher cognitive fit if the chatbots provide them with suggestive guidance and communicate in a friendly style especially when they perform a searching task.

This study is the first attempt to understand the role of chatbots as a decision aid to customers using the communicative language. This study also tries to explore the cognitive fit theory in a novel way, and we propose the information presentation in forms of communicative language rather than matrices, tables and graphs.

This study investigates whether and how the service quality of artificial intelligence (AI) chatbots affects customer loyalty to an organization.

Based on the sequential chain model of service quality loyalty, this study first classifies AI chatbot service quality into nine attributes and then develops a research model to explore the internal mechanism of how AI chatbot service quality affects customer loyalty. The analysis of survey data from 459 respondents provided insights into the interrelationships among AI chatbot service quality attributes, perceived value, cognitive and affective trust, satisfaction and customer loyalty.

The results show that AI chatbot service quality positively affects customer loyalty through perceived value, cognitive trust, affective trust and satisfaction.

This study captures the attributes of the service quality of AI chatbots and reveals the significant influence of service quality on customer loyalty. This study develops research on service quality in the information system (IS) field and extends the sequential chain model of quality loyalty to the context of AI services. The findings not only help an organization find a way to improve customers' perceived value, trust, satisfaction and loyalty but also provide guidance in the development, adoption, and post-adoption stages of AI chatbots.

This paper aims to examine the role of the creation task–technology fit (CTTF) in the knowledge creation performance (KCP). The creation task features represented by goal-driven, goal-free and goal-frame modes (GDM, GFM and GRM) and information and communication technology (ICT) supportive features are considered. The moderation effect of cognitive style represented by analytical and intuitive styles is explored. Contributions and implications are addressed.

The literature review on creation task, ICT, cognitive behavior and fit theory, and the research gap with respect to the antecedents of KCP are presented. The research arguments are then hypothesized and the research model developed to describe that the proposed role is examined empirically.

Research findings are obtained on the basis of the data analysis of 258 valid subjects from research institutes as well as manufacturing and service industries. The effect of CTTF on creation outcomes is significantly confirmed. The ICT supportive functions are unlikely significantly related to CTTF for the analysis-styled group, but the intuition-styled group shows a likely significance because of the different means of dealing with information and knowledge processing. The analysis-styled group disagrees with the significant link of the GDM with CTTF, whereas the intuition-styled group presents the significant effects of GDM, GFM and GRM on CTTF.

The unique features of knowledge creation differentiate it from other tasks. With respect to whether the knowledge creation task presented by goal is defined or not, and how ICT better suits the creation task features to benefit the creation outcomes are yet to be discussed. The individual cognitive style is confirmed to alternate the effect of ICT and GDM on CTTF in the proposed model. The research findings are particularly obvious because a transition gap, less covered by the literature, might exist with regard to the perception connection of knowledge creation service providers, agencies, consultants and context creators.

While the disruptive potential of artificial intelligence (AI) has been receiving growing consensus with regards to its positive influence on entrepreneurship, there is a clear lack of systematization in academic literature pertaining to this correlation. The current research seeks to explore the impact of AI on entrepreneurship as an enabler for entrepreneurs, taking into account the crucial application of AI within all Industry 4.0 technological paradigms, such as smart factory, the Internet of things (IoT), augmented reality (AR) and blockchain.

A systematic literature review was used to analyze all relevant studies forging connections between AI and entrepreneurship. The cluster interpretation follows a structure that we called the “AI-enabled entrepreneurial process.”

This study proves that AI has profound implications when it comes to entrepreneurship and, in particular, positively impacts entrepreneurs in four ways: through opportunity, decision-making, performance, and education and research.

The framework's practical value is linked to its applications for researchers, entrepreneurs and aspiring entrepreneurs (as well as those acting entrepreneurially within established organizations) who want to unleash the power of AI in an entrepreneurial setting.

This research offers a model through which to interpret the impact of AI on entrepreneurship, systematizing disconnected studies on the topic and arranging contributions into paradigms of entrepreneurial and managerial literature.

The purpose of this paper is to investigate attitudes of Italian consumers towards a set of applications of nanotechnology in the food domain. The chief goal is to identify the main factors influencing the willingness to buy nanofoods (WTBN), distinguishing between factors related to the products, in terms of perceived risks and benefits and psychological factors.

A questionnaire was administered to a sample of about 300 people to gather information about the willingness to buy six nanofoods (namely: creamier ice cream with the same fat content; salt and sugar that do not form lumps with moisture; fruit juices enriched with bioactive molecules; bread enriched with Omega-3; plastic bottles for beer; antimicrobial food packaging for meat) and psychological characteristics, measured by several attitudinal scales. In order to study the influence of the attitudinal factors on the WTBN a simultaneous equations model was estimated, defining both its structural and reduced form.

Respondents show a certain reluctance to buy foods produced using nanotechnologies The estimates of the econometric model indicate that WTBN is affected by the risks and benefits perceived with respect to the six nanofoods under consideration; the level of neophobia, as captured through the food technology neophobia scale; and the level of trust in food industry.

The study extends the literature on nanofood consumer acceptance by adding useful evidence from the Italian case, which has not yet been studied.

The use of visual templates has proven instrumental in supporting group meetings. The purpose of this paper is to explore whether visual templates enable culturally diverse groups to achieve greater task precision in face-to-face meetings.

Building on Adaptive Structuration Theory, it is argued that visual templates provide structuration for face-to-face meetings, even more so when they are embedded in computer-supported collaborative systems. In particular, it is hypothesized that the higher the degree of structuration imposed by visual templates, the higher the degree of task precision will be. It is also hypothesized that this relationship is positively moderated by group cultural diversity: higher cultural diversity will further sustain the positive effects of visual templates that provide higher structuration.

Results of an experiment with 229 managers from 49 countries confirm that facilitating groups with visual templates embedded in a computer-supported collaborative system significantly increases task precision at high levels of cultural diversity.

This study contributes to Positive Organizational Scholarship (POS) by investigating the use of visual templates as a contingency factor that increases performance – specifically task precision – of co-located, culturally diverse groups.

Results indicate that visual templates embedded in a computer-supported collaborative system are an effective method for increasing task precision in face-to-face meetings of culturally diverse groups.

Theories from information systems and visualization are integrated into cross-cultural management with a view to sustaining the effectiveness of culturally diverse groups. The study sample is characterized by highly culturally diverse groups interacting in face-to-face meetings.

Four aspects of the decisional framework for resource allocation in English Education are pursued: (i) The decision process is placed in the context of both its general importance and its particular significance as the system is transformed from expansion to steady state. (ii) The basic expenditure choices and the environment in which they are made are discussed for the decentralised system, in terms of the numerous decision‐makers involved and the influences upon them. (iii) The availability and value of criteria to aid the political choices that must be made—in particular objective economic indicators—are considered. (iv) The disadvantages of the present framework, revealed mainly by recent expenditure limitations, suggest that improvement is only possible if either central government control is strengthened or alternatively local initiative is allowed to flourish.

Managers are confronted with increasing information overload and growing pressure for effective and efficient decision making. The visualisation of data represents a way to overcome this dilemma and to improve management decision quality. The purpose of this paper is to transfer insights from visualisation research to the managerial accounting context and clarify the impact of visualisation on management accounting reports and decision making. The authors deduce implications for behavioural management accounting research, teaching, and business practice from previous findings and the results.

The authors conducted an experiment with students and experienced managers. Participants had to evaluate eight different business units based on four accounts (sales, EBIT, FPY, and delivery reliability). The information the authors provided to the participants was either presented as tables only, or in tables and graphs.

The empirical results show that supplementary graphs improve decision quality, especially within the manager sample but do not affect decision confidence in a performance evaluation task. The authors furthermore find that managers perform poorly when only provided with tables, and they achieve the overall best score when provided with both tables and graphs, whereas students perform similarly in both conditions. The authors additionally show that proficiency affects not only decision quality but also decision confidence.

The results differ from predictions based solely on the cognitive fit model, as the authors found differences in decision quality to be stronger within the group of managers. The cognitive fit model proposes that decision making performance will improve when the problem representation and the decision making task match. Applying the model to a management context, it is obviously insufficient to explain the differences the authors obtained in the experiment. The authors observed that proficiency plays a role in such performance evaluation tasks.

Based on the results, management accountants should analyse the task that needs to be solved with the reported data. By analysing the type of task, accountants can derive the information processing strategy that will most likely be used by executives for problem solving and determine the suitable visualisation format based on the cognitive fit model. Moderate or complex monitoring tasks will presumably be accessed with perceptual information processing. Data should thus be visualised with graphs.

The authors provide empirical evidence that supplementary graphs in management reports improve decision quality but not decision confidence. The authors furthermore illustrate the limits of the explaining power of the cognitive fit model in a management report context. In an extension of cognitive fit theory, the authors argue that proficiency plays a crucial role in performance evaluation tasks. The authors propose a process for visualisation of management reports based on their findings and previous findings.

This study aims to explore how the theories of professional capital and decisional capital can be extended to introduce “professional mathematics capital” and “decisional mathematics capital”.

Professional development (PD) efforts in one school district in elementary mathematics education are described to illustrate these extensions and to contemplate ways to enhance teacher learning of mathematics pedagogy.

Both theoretical extensions provided useful frameworks for conceptualizing mathematics PD. Preliminary evidence suggests that participants demonstrated the emergence of professional and decisional mathematics capital.

While there were observed and reported changes to teacher practice, further research is needed to explore the implications of these theoretical extensions on student learning.

This study serves to enhance the literature related to PD and teachers' mathematical content knowledge. The theoretical extensions of professional and decisional mathematics capital are a novel and promising concept that allows for a unique approach to be laid out for those designing PD in mathematics.