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Our study aims to explore the interplay between dysfunctional cognitive schemas and rationality for decision comprehensiveness in organizational strategic decisions.

We used a cross-sectional design in which we evaluated individual decision rationality using an objective decision competence test and dysfunctional cognitive schemas in a sample of 270 managers (145 women with an average age of 41 years old). In addition, we asked managers to rate the decision comprehensiveness of their organization’s strategic decision processes.

Our findings support the detrimental impact of dysfunctional cognition in strategic decision-making in such a way that the association between individual managerial rationality and the comprehensiveness of organizational strategic decisions was positive only when managers reported low dysfunctional cognition, while when managers reported high levels of dysfunctional cognitive schemas, the association between rationality and comprehensiveness was negative.

Our study provides initial empirical evidence for the interplay between dysfunctional cognition and managerial rationality in strategic decision processes, and it opens venues for future research to explore the detrimental role of dysfunctional cognitive schemas in strategy processes.

The purpose of this inductive, exploratory study is to provide foundational insights into the role of management control in dealing with dysfunctional behaviour within accounting schools in changing environment of Australian universities.

Evidence is drawn from semi-structured interviews with 28 current or previous heads of school, research deans, deans of teaching and learning, school managers and human resource managers from 16 Australian universities and interpreted from the theoretical perspective of rational choice theory.

The findings suggest the incidence of a range of dysfunctional behaviours occurring in accounting schools. Even when such behaviours are limited in frequency, their consequences are nevertheless found to have far-ranging and potentially destructive change impacts for both individuals and the university. Formal management control systems designed to address such behaviours are perceived to be largely ineffective in identifying, managing, eliminating or even mitigating the consequences of such dysfunctionality. Instead, it is informal control processes that are preferred in dealing with dysfunctionality.

This study enhances our understanding of the role of management control in dealing with dysfunctional behaviour within university accounting schools, and points not only to the difference between the design and use of management controls but also to the implications of this disconnect between the underlying intent of control design and their actual use in the context of environments that are subject to significant change.

Concerns regarding the dysfunctional behaviours of public officials have sparked renewed interest in public service ethics and spirituality. While national and organizational systems have been established to eliminate dysfunctional behaviours such as corruption, sexual harassment and misuse of confidential information, the practice continues to have a demoralizing impact on developing countries. The study aims to intend to investigate the empirical relation between the application of spirituality and ethics in reducting dysfunctional behaviours within Ghana's Public Sector.

The study conducted a qualitative case analysis that utilized 28 semi-structured interviews and four focus groups. Interviews and group discussions with public sector staff, managers and policymakers were used to collect qualitative data. This approach facilitated an in-depth investigation into their views on dysfunctional actions and the possible impact of workplace spirituality and ethics in the Ghanaian public service.

The study uncovered a persistent recurrence of dysfunctional behaviours, such as fraudulent activities, resource misuse, unofficial work and inappropriate use of official time. There was uncertainty regarding the effectiveness of integrating ethics and spirituality to curtail dysfunctional behaviours. Nevertheless, the results supported adopting spiritual and ethical rejuvenation in the public service as a universal solution to overcome these behaviours.

This study enhances comprehension of dysfunctional behaviours in Ghana's public service by providing insights into how spirituality and ethics can transform it. The potentials of workplace spirituality and ethics can lead to a strong public service that embodies accountability, integrity and effectiveness, thereby serving as a pivotal device for Ghana's holistic advancement.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

A study of healthcare employees in Saudi Arabia revealed the harmful effects of dysfunctional leadership behaviors. These included abusive behavior, marginalizing others, engaging in favoritism and degrading employees. The behaviors made employees leave their jobs, feel alienated at work, reduced their commitment and often created serious psychological and physical problems.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Drawing on the theory of goal systems applied to family business this case study focuses on the interdependence between non-economic goals and family goals, in order to identify if and how achieving non-economic goals generates dysfunctional behavioural patterns for family members in the long term.

This study used an inductive, 20-year longitudinal case-study based methodology.

This case study shows how the business family faces ethical/affective dimensions, struggling every day for a balance and often undermining the legitimisation and differentiation of its children. Findings show that the achievement of non-economic goals can occur to the detriment of family goals, such as by generating a dysfunctional system, specifically in business family adaptability.

The principal limitation is that this single case study evidently does not allow for complete generalization of the findings.

This case study makes a contribution to alerting the family business system to the long-term risk they face in trying to simultaneously maintain both harmony/cohesion and ethics/responsibility. Practitioners and consultants are therefore called on to help family firm owners with adopting a strategic vision by considering possible long-term counterfinal (i.e. mutually incompatible) goals.

SMEs are the most widespread type of firm in the world, and consequently dysfunctional behavioural patterns within business families represent a prominent socio-economical problem for policy makers and institutions.

This study shows that, in the long term, that which is perceived to be a desirable goal can transpire to be a dysfunctional pattern. In doing so, this research introduces a new point of view to the literature on goal systems in family business.

Although blockchain technology holds significant promise in influencing supply chain resilience (SCR), its effectiveness depends on a variety of factors. However, given that blockchain adoption in SCR is still in its infancy, there is a lack of empirical research to reveal the critical success factors maximizing its efficacy. This study aims to apply an organizational information processing theory (OIPT) perspective to explore how transformational supply chain leadership (TSCL) can facilitate the deployment and connection of blockchain technology to meet the imperatives of enhancing SCR.

This study used a two-wave survey method to gather data from 317 Chinese manufacturers to empirically examine the hypothesized relationships.

The findings suggest that the adoption of blockchain technology enhances both the proactive and reactive dimensions of SCR, and these effects can be realized through the mediating role of TSCL. Furthermore, the positive effect of blockchain technology on TSCL is strengthened in the context of dysfunctional competition.

These findings suggest that companies can only enhance the benefits of disruptive technologies, such as blockchain, by fully integrating them into the operational and supply chain processes.

This research offers novel insights into the specific processes of how blockchain technology can be used to enhance SCR. It also deepens our comprehension of how digital technology can be optimally harnessed within the framework of OIPT, thus providing a contribution to the literature on emerging technologies and SCR.

This paper aims to provide an experiential learning exercise that develops student skills in assertive communication and listening in the context of dysfunctional group projects. It offers iterative planning, roleplays and reflection. Variations incorporate additional practice, interim debriefing or multiple partners.

A scaffolded approach introduces assertiveness and listening. Students prepare and discuss feedback scripts for two scenarios about problematic team members, articulate perceptions of blame (to call attention to bias) and identify listening tactics. They receive additional scenarios with complementary roles to analyze individually and then practice with new partners. In one, they are assertive, and in the other, they are the dysfunctional group member.

The challenges represented by the scenarios resonate with students. Many are shocked by the difficulty of speaking assertively with “problem” group members and find the iterative practice helpful.

Students avoid directly addressing problems caused by peers or request instructor intervention. This iterative activity helps them close the knowing-doing gap by practicing assertive communication, feedback and listening within the context of realistic group project situations.

This activity develops learner confidence and capacity to handle similar situations. It incorporates valuable soft skills that are transferable to the workplace.

This activity draws on common problems caused by group members in college project teams. Learners develop scripts and listening approaches and practice assertive communication to achieve better group outcomes.

The main impetus of the current paper is to identify and prioritize the work–family balance (WFB) satisfaction attributes specifically for working sole mothers' by deploying the Kano technique and weighted average method.

A multi-stage methodology has been used in the present analysis. Initially, the Kano method has been utilized to categorize the WFB satisfaction attributes using a three-dimensional WFB satisfaction scale. Afterward, the satisfaction coefficient technique was employed on Kano outcomes to get the WFB satisfaction and dissatisfaction index. Subsequently, the weighted average method was employed to prioritize the WFB satisfaction attributes.

Findings uncovered the significance of a non-linear association between WFB attributes and employed sole mothers' WFB satisfaction. The findings revealed that one-dimensional and must-be-based WFB satisfaction attributes are responsible for sole mothers' WFB satisfaction and employing organizations must not overlook them. Additionally, the results of weighted average method-based prioritization can help organizations to focus on particular WFB satisfaction criteria according to their priority level.

The findings are useful for WFB policy-makers and managers to formulate a suitable WFB strategy specifically for single mothers.

Results provide a path for employers to minimize the work–family role conflict and societal dissatisfaction that helps sole mothers to attain the desired WFB.

This study first employed a novel approach that incorporates the Kano application with the weighted average method in order to prioritize the WFB satisfaction attributes for lone mothers.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0074

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.