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The objective of this research was to identify Facione’s six critical thinking skills using graduate students blogs as a reflection tool in the context of leadership using structured and unstructured blogs. The skills researched were (a) Interpretation, (b) Analysis, (c) Evaluation, (d) Inference,(e) Explanation, and (f) Self-Regulation (Facione, 1990). It was evident that providing students with guidelines for the purpose of blogging in the classroom was more thought evoking over the duration of the course compared to students following an open reflection. Self-Regulation and explanation were the skills used most consistently among participants. With this knowledge, how do educators encourage students to use the other four skills just as often?

Increased demand, limited resources, knowledge gaps, and seemingly less time to produce results are the challenges facing researchers and others in higher education today. Working together across disciplines is almost a requirement to stay afloat in the competitive arena most principal investigators are finding themselves in. This study sought to synthesize existing research on leadership behaviors of these investigators in the agricultural discipline. The sections specifically addressed include team science, discipline structure, boundary work, challenges of interdisciplinary research, the direction of research, and leadership in interdisciplinary teams. After analyzing 32 articles, researchers determined that research should continue to investigate the role of leadership behaviors in primary investigators to continue to improve effectiveness.

This global, quantitative study explores the instructional and assessment strategy use of leadership educators who teach online, academic credit-bearing leadership studies courses at graduate- and undergraduate-levels. Participants include 81 graduate-level and 37 undergraduate- level instructors who taught an online leadership studies course within two years of completing the web-based survey used in this study. Findings suggest that discussion-based pedagogies, most commonly facilitated in online discussion boards, were the most widely used strategies. And, while reflection, case studies, and group or individual projects were also used frequently, instructors teaching graduate-level courses used ungraded formative quizzes significantly more often than undergraduate instructors. Findings also suggest that instructors attached the most weight to their students’ overall course grades to discussion boards, major writing projects or term papers, and participation.

This chapter looks at the discursive dimension of the working environment in research and higher education organizations; more specifically at neoliberal managerial discourse and at how it participates in shaping the way researchers, teachers and support staff perceive themselves and their experiences. It is based on a multiple case study and combines an intersectional and a socio-clinical approach. The empirical data is constituted by in-depth interviews with women conducted in Ireland and Chile, and includes some observations made in France. A thematic analysis of individual narratives of self-ascribed experiences of being bullied enables to look behind the veil drawn by managerial discourse, thus providing insights into power vectors and power domains contributing to workplace violence. It also shows that workplace bullying may reinforce identification to undervalued social categories. This contribution argues that neoliberal managerial discourse, by encouraging social representations of “neutral” individuals at work, or else celebrating their “diversity,” conceals power relations rooting on different social categories. This process influences one’s perception of one’s experience and its verbalization. At the same time, feeling assigned to one or more of undervalued social category can raise the perception of being bullied or discriminated against. While research has shown that only a minority of incidents of bullying and discrimination are reported within organizations, this contribution suggests that acknowledging the multiplicity and superposition of categories and their influence in shaping power relations could help secure a more collective and caring approach, and thus foster a safer work culture and atmosphere in research organizations.

Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration of AI in educational settings has the potential to improve students' learning experience and support their individual competencies when paired with non-AI methods. Despite the growing importance of AI in modern education, there remains a noticeable research gap regarding its use in entrepreneurship education and the effects of Chatbots on students' entrepreneurial competencies. To address this gap, an exploratory study was conducted on undergraduate students who were tasked with using ChatGPT to improve their business model canvas.

The chosen methodology aligned with the research purpose, aiming to explore the relationship between Generative AI and competencies. Due to the novel nature of the research problem, an exploratory study was conducted using a mixed methods approach. A survey with open- and closed-ended questions was designed, and statistical and text analyses were performed to interpret data and test identified propositions.

The findings of this study indicate that ChatGPT can enhance the types of students' entrepreneurial competencies considered in this study: spotting opportunities, creativity, vision, valuing ideas and ethical and sustainable thinking. The results show that ChatGPT can be particularly helpful to improve the ability of students of valuing ideas.

Overall, this study highlights the potential of adopting ChatGPT in experiential learning methodologies for enhancing students' entrepreneurial competencies and improving their learning outcomes.

Blogging can be an effective way for students to increase their engagement with course content. Using their daily lives as a leadership laboratory enables students to observe leadership theories in familiar contexts. This application brief discusses a semester-long assignment where students were asked to reflect on, synthesize, and apply course material through a personal blog. This assignment has been used in an online undergraduate survey of leadership theory course for non-leadership majors. Students reported that maintaining a personal blog helped them improve their critical thinking skills, recognize and document the practicality of the course material, and remain accountable and learning throughout the entire semester. Two recommendations are presented for instructors considering a reflective blog assignment: avoid being too prescriptive in the questions asked and refrain from requiring students to comment on each other’s work.

This study investigates which dimensions of the management control system (MCS) increase the perception of organizational justice and reduce unethical behavior in the perception of managers. The purpose of this paper is to validate the theoretical model of the study of Langevin and Mendoza (2012), testing the theoretical hypotheses formulated by the authors.

A survey was performed in companies listed among the Best and Largest of Exame Magazine, and the sample is composed of 102 respondents of the research, which consists of 41 assertions.

The results of the structural equation modeling show that the definition of objectives increases the perception of procedural justice, but the same was not observed regarding the remuneration of the managers. Likewise, disregarding aspects that are uncontrollable by managers in performance evaluation does not lead to the perception of procedural and distributive justice. However, feedback quality leads to the understanding that the MCS is fair. Perception of procedural and distributive justice was also observed in the use of multiple measures of performance by the company.

Other factors that have not been investigated may interfere with and contribute to the reduction of unethical behavior (budget slack and data manipulation).

The only variable that interferes in the reduction of unethical behavior is feedback quality. The non-confirmation of all the hypotheses instigates the replication of the research in other contexts for empirical validation of the theoretical model of Langevin and Mendoza (2012).

The purpose of this paper is to develop a structural relationship model to study the relationship between causes and effects of poor communication and information exchange in construction projects using Smart-PLS.

The first method of this research is to identify the causes and effects factors of poor communication in construction projects from the extant of literature. The data used to develop the model was collected using a questionnaire survey, which targeted construction practitioners in the Malaysian construction industry. A five-point Likert type scale was used to rate the significance of the factors. The factors were classified under their relevant construct/group using exploratory factor analysis. A hypothetical model was developed and then transformed into Smart-PLS in which the hypothetical model suggested that each group of the cause factors has a direct impact on the effect groups. The hypothesis was tested using t-values and p-values. The model was assessed for its inner and outer components and achieved the threshold criterion. Further, the model was verified by engaging 14 construction experts to verify its applicability in the construction project setting.

The study developed a structural equation model to clarify the relationships between causes and effects of poor communication in construction projects. The model explained the degree of relationships among causes and effects of poor communication in construction projects.

The published academic and non-academic literature introduced many studies on the issue of communication including the definitions, importance, barriers to effective communication and means of poor communication. However, these studies ended up only on the general issue of communication lacking an in-depth investigation of the causes and effects of poor communication in the construction industry. The study implemented advanced structural modeling to study the causes and effects. The questionnaire, the data and concluding results fill the identified research gap of this study. The addressed issue is also of interest because communication is considered one of the main knowledge areas in construction management.

The aim of the paper is to investigate Goodwin’s growth cycle in the Indian organised manufacturing industries.

The methodology is based on bi-variate differential equation, econometrics model like log-linear regression and Autoregressive Distributed Lag model. An empirical investigation is conducted on data from the Annual Survey of Industries from 1980 to 2018 time period.

The results indicate that though the original Goodwin model estimates deviated from data estimates, its modified (neo-Goodwin) model are found to be equivalent to the data estimates. Moreover, in contrast to the original model, the capital accumulation rate (investment to profit ratio) is not assumed to be unitary in the modified Goodwin model. Furthermore, the labour market-led and cost effect conditions of the Goodwin cycle are empirically verified by investigating the interdependency between employment rate and wage share. Lastly, the short- and long-run Goodwin cycles are observed to be moving in anti-clockwise direction in the employment rate and wage share bi-dimensional plane, thus confirming the existence of profit-led distribution where wage share continuously reducing with high employment.

This study opens the discussion on application of capitalistic model in the emerging economy and also suggests to incorporate some theoretical models like Kaldorian, Keynesian, Kaleckian or Schumpetrian into the Goodwin cycle.

This is the first paper which empirically examines the capitalistic nature of Indian organised manufacturing industries through the lens of Goodwin growth cycle and then extend it to the Neo-Goodwin model by relaxing one of the unrealistic assumption regarding unitary investment to profit ratio.

The purpose of this paper is to analyze geographic heterogeneity of consumer preferences for intrinsic quality attributes of rice in South and Southeast Asia and the drivers of demand for these attributes, with a particular focus on rice fragrance and the role of gender.

Stated-preference surveys were conducted with 4,231 urban and rural consumers in 37 cities across seven countries (Bangladesh, India, Cambodia, Indonesia, the Philippines, Thailand, and Vietnam) during 2013–2014 and analyzed through a rank-ordered logistic regression with incomplete ranking choice data.

Preferences for rice attributes are found to be significantly heterogeneous among consumers in South and Southeast Asia. Urban Thai consumers tend to prioritize appearance and cooking characteristics over taste and nutritional benefits, relative to all other surveyed consumers. In contrast with South Asian consumers, Southeast Asian consumers have largely adopted Thai preferences for rice texture and fragrance, a trend that was earlier coined “Jasminization.” We find that demand for rice fragrance is mainly driven by women, educated consumers, large families, families spending a lower share of their food expenditures on rice, and consumers in Southeast Asia (particularly the Philippines and Cambodia).

Little is known about geographic heterogeneity, drivers, and the role of gender in demand for rice fragrance. This paper fills these knowledge gaps. Our findings suggest that the more women are empowered in grocery decision-making, the more demand for aromatic rice is expected to rise. These insights can assist market-driven and gender-responsive rice breeding programs in simultaneously enhancing rice farmers' livelihoods and gender equity.