The study involved student teachers enrolled in early childhood teaching at a teacher training institute in Hong Kong Special Administrative Region. Seventy-four students participated in flipped classroom activities during their first semester of study. Students were told to learn from online videos related to using image editing software in their own time and pace prior to the next class. When they met in class, they were asked to apply their recently acquired editing knowledge to edit an image of their own choice related to the theme of their group project. At the end of the activity, students were asked to complete an online questionnaire. It was found that students had rated all five questions relating to generic skills highly, with self-study skills rated the highest. They particularly enjoyed the flexibility of learning on their own time and pace as a benefit of the flipped classroom. Data collected from students’ project pages show they had used average of 3.22 editing features for the theme images for their project. Most groups had inserted text followed by using the filter function. It is possible that these two functions are more noticeable than other editing functions. In conclusion, students were able to apply their self-learnt knowledge in a real-life situation and they had also developed their generic skills via the flipped classroom pedagogy.

Aim/Purpose: One of the most fascinating developments in computer user interfaces in recent years is the rise of “chatbots”. Yet extent information system (IS) curriculum lacks teaching resources on chatbots programming.. Background: To better prepare students for this new technological development and to enhance the IS curriculum, we introduce a project that teaches students how to program simple chatbots, including a transactional chatbot and a conversational chatbot. Methodology: We demonstrated a project that teaches students how to program two types of simple chatbots: a transactional chatbot and a conversational chatbot. We also conducted a survey to examine students’ perceptions on their learning experience. Findings: Our survey on students’ perception of the project finds that learning chatbots is deemed very useful because chatbot programming projects have enabled the students to understand the subject better. We also found that social influence has positively motivated the students to learn chatbot programming. Though most of the students have no prior experiences programming chatbots, their self-efficacy towards chatbot programming remained high after working through the programming project. Despite the difficult tasks, over 71% of respondents agree to various degrees that chatbot programming is fun. Though most students agree that chatbot programming is not easy to learn, more than 70% of respondents indicated that they will use or learn chatbots in the near future. The overwhelmingly positive responses are impressive given that this is the first time for the students to program and learn chatbots. Recommendations for Practitioners: In this article, we introduced a step by step project on teaching chatbot programming in an information systems class. Following the project instructions, students can get their first intelligent chatbots up and running in a few hours using Slack. This article describes the project in detail as well as students’ perceptions. Recommendations for Researchers: We used UTAUT model to measure students’ perception of the projects. This study could be of value to researchers studying students’ technology learning and adoption behaviors. Impact on Society: To our best knowledge, pedagogical resources that teach IS students how to program chatbots, especially the introductory level materials, are limited. We hope this teaching case could be of value for IS educators when introducing IS students to the wonderful field of chatbot programming. Future Research: For future work, we plan to expand the teaching resources to cover more advanced chatbot programming projects, such as on how to make chatbot more human-like.

Aim/Purpose: This research investigated the determinant factors influencing the adoption intentions of Chatsicum, a Knowledge-Based Chatbot (KBC) aimed at enhancing the species literacy of biodiversity students. Background: This research was conducted to bridge the gap between technology, education, and biodiversity conservation. Innovative solutions are needed to empower individuals with knowledge, particularly species knowledge, in preserving the natural world. Methodology: The study employed a quantitative approach using the Partial Least Square Structural Equation Modeling (PLS-SEM) and sampled 145 university students as respondents. The research model combined the Task-Technology Fit (TTF) framework with elements from the Diffusion of Innovation (DOI), including relative advantage, compatibility, complexity, and observability. Also, the model introduced perceived trust as an independent variable. The primary dependent variable under examination was the intention to use the KBC. Contribution: The findings of this research contribute to a deeper understanding of the critical factors affecting the adoption of the KBC in biodiversity education and outreach, as studies in this context are limited. This study provides valuable insights for developers, educators, and policymakers interested in promoting species literacy and leveraging innovative technologies by analyzing the interplay of TTF and DOI constructs alongside perceived trust. Ultimately, this research aims to foster more effective and accessible biodiversity education strategies. Findings: TTF influenced all DOI variables, such as relative advantage, compatibility, observability, and trust positively and complexity negatively. In conclusion, TTF strongly affected usage intention indirectly. However, relative advantage, complexity, and observability insignificantly influenced the intention to use. Meanwhile, compatibility and trust strongly affected the use intention. Recommendations for Practitioners: Developers should prioritize building and maintaining chatbots that are aligned with the tasks, needs, and goals of the target users, as well as establishing trust through the assurance of information accuracy. Educators could develop tailored educational interventions that resonate with the values and preferences of diverse learners and are aligned closely with students’ learning needs, preferences, and curriculum while ensuring seamless integration with the existing educational context. Conservation organizations and policymakers could also utilize the findings of this study to enhance their outreach strategies, as the KBC is intended for students and biodiversity laypeople. Recommendation for Researchers: Researchers should explore the nuances of relationships between TTF and DOI, as well as trust, and consider the potential influence of mediating and moderating variables to advance the field of technology adoption in educational contexts. Researchers could also explore why relative advantage, complexity, and observability did not significantly impact the usage intention and whether specific user segments or contextual factors influence these relationships. Impact on Society: This research has significant societal impacts by improving species literacy, advancing technology in education, and promoting conservation efforts. Species knowledge could raise awareness regarding biodiversity and the importance of conservation, thereby leading to more informed and responsible citizens. Future Research: Future works should address the challenges and opportunities presented by KBCs in the context of species literacy enhancement, for example, interventions or experiments to influence the non-significant factors. Furthermore, longitudinal studies should investigate whether user behavior evolves. Ultimately, examining the correlation between species literacy, specifically when augmented by chatbots, and tangible conservation practices is an imperative domain in the future. It may entail evaluating the extent to which enhanced knowledge leads to concrete measures promoting biodiversity preservation.

Aim/Purpose: This study aims to identify the characteristics of YouTube video reviews that consumers utilize to evaluate review helpfulness and explores how they process such information. This study aims to investigate the effect of argument quality, review popularity, number of likes, and source credibility on consumers’ perception of YouTube’s video review helpfulness. Background: Video reviews posted on YouTube are an emerging form of online reviews, which have the potential to be more helpful than textual reviews due to their visual and audible cues that deliver more vivid information about product features and specifications. With the availability of an enormous number of video reviews with unpredictable quality, it becomes challenging for consumers to find helpful reviews without consuming significant time and effort. In addition, YouTube does not provide a specific feature that indicates a review helpfulness similar to the one found on e-commerce websites. Consequently, consumers have to examine the characteristics of video reviews that are readily available on YouTube, evaluate them, and form a perception of whether a review is helpful or not. Despite the increasing popularity of YouTube’s video reviews, video reviews’ helpfulness received inadequate attention in the literature. The antecedents of the helpfulness of online video reviews are still underinvestigated, and more research is needed to identify the characteristics that consumers depend upon to assess video review helpfulness. Furthermore, it is important to understand how consumers process the information they gain from these characteristics to form a perception of their helpfulness. Methodology: Following an extended investigation of the relevant literature, we identified four key video characteristics that consumers presumably utilize to evaluate review helpfulness on YouTube (i.e., review popularity, number of likes, source credibility, and argument quality). By employing the Elaboration Likelihood Model (ELM), we classified these characteristics along the central and peripheral routes. The central route characteristics require a high cognitive effort by consumers to process the review’s message and reach a logical decision. In contrast, the peripheral route assumes that consumers judge the review’s message based on superficial qualities without substantial cognitive effort. A research model is introduced to investigate the effect of central and peripheral cues and their corresponding video review characteristics on review helpfulness. Accordingly, argument quality is proposed in the central route of the model, while review popularity, number of likes, and source credibility are proposed in the peripheral route. Furthermore, the study investigates how consumers process the information they obtain from these routes jointly or independently. To empirically test the proposed model, a convenient sample of 361 YouTube users was obtained through an online survey. The partial least squares method was used to investigate the effect of the proposed characteristics on video review helpfulness. Contribution: This study contributes to the literature in several ways. First, it is one of the few studies that investigate online video reviews’ helpfulness. Second, this study identifies several unique characteristics of YouTube’s video reviews that span peripheral and central routes, which potentially contribute to review helpfulness. Third, this study proposes a conceptual model based on the ELM to explore the effect of central and peripheral cues and their corresponding review characteristics on review helpfulness. Fourth, the research findings provide implications for research and practice that advance the theoretical understanding of video reviews’ helpfulness and serve as guidelines to create more helpful video reviews by better understanding the consumer’s cognitive processes. Findings: The results show that among the four characteristics proposed in the research model, argument quality in the central route is the strongest determinant factor affecting video review helpfulness. Results also show that review popularity, source credibility, and the number of likes in the peripheral route have significant effects on video review helpfulness. Altogether, our results show that the effect of the peripheral route adds up to 0.463 compared to 0.430, which is the impact magnitude of the argument quality construct in the central route. Based on the comparable effect magnitude of the central and peripheral routes of the model on video review helpfulness, our results indicate that both peripheral and central cues significantly affect consumers’ perception of video review helpfulness. The two routes are not mutually exclusive, and their cues can be processed in parallel or consecutive ways. Recommendations for Practitioners: The study recommends creating a dedicated category for reviews on YouTube with a specific feature for consumers to indicate the helpfulness of a video review, similar to the helpful vote button in textual reviews. The study also recommends that reviewers deliver more appealing and convincing argument quality, work toward improving their credibility, and understand the factors that contribute to video popularity. Impact on Society: Identifying the characteristics that affect video review helpfulness on YouTube helps consumers access helpful reviews more efficiently and improves their purchase decisions. Future Research: Future research could look into different types of data that could be extracted from YouTube to investigate the helpfulness of online video reviews. Future studies could employ machine learning and sentiment analysis techniques to reach more insights. Future research could also investigate the effect of product types in the context of online video reviews.

This paper aims to share the author's vision on possible research directions for big knowledge-based AI. A renewed definition of big knowledge (BK) and big knowledge systems (BKS) is first introduced. Then the first BKS model, called cloud knowledge social intelligence (CKEI) is provided with a hierarchy of knowledge as a service (KAAS). At last, a new semantics, the big-and-broad step axiomatic structural operational semantics (BBASOS) for applications on BKS is introduced and discussed with a practical distributed BKS model knowledge graph network KGN and a mini example.

Aim/Purpose: The research work investigated the information seeking process of undergraduates in a specialised university in Nigeria, in the course of a group assignment. Background: Kuhlthau’s Information Search Process (ISP) model is used as lens to reveal how students interact with information in the affective, cognitive and physical realms. Methodology: Qualitative research methods were employed. The entire seventy-seven third year students in the Department of Petroleum and Natural Gas and their course lecturer were the participants. Group assignment question was analysed using Bloom’s Taxonomy while the information seeking process of the students was garnered through dialogue journaling on WhatsApp Messenger. Contribution: The research explicates how students’ information seeking behaviour can be captured beyond the four walls of a classroom by using a Web 2.0 tool such as WhatsApp Messenger. Findings: The apparent level of uncertainty, optimism, and confusion/doubt common in the initiation, selection, and exploration phases of the ISP model and low confidence levels were not markedly evident in the students. Consequently, Kuhlthau’s ISP model could not be applied in its entirety to the study’s particular context of teaching and learning due to the nature of the assignment. Recommendations for Practitioners: The study recommends that the Academic Planning Unit (APU) should set a benchmark for all faculties and, by extension, the departments in terms of the type/scope and number of assignments per semester, including learning outcomes. Recommendation for Researchers: Where elements of a guided approach to learning are missing, Kuhlthau’s ISP may not be employed. Therefore, alternative theory, such as Theory of Change could explain the poor quality of education and the type of intervention that could enhance students’ learning. Impact on Society: The ability to use emerging technologies is a form of literacy that is required by the 21st century work place. Hence, the study demonstrates students’ adaptation to emerging technology. Future Research: The study is limited to only one case site. It would be more helpful to the Nigerian society to have this study extended to other universities for the purpose of generalisation and appropriate intervention.

This study investigates the skill sets necessary for entry level systems analysts. Towards this end, the study combines two sources of data, namely, a content analysis of 200 systems analysts’ online job advertisements and a survey of 20 senior Information Systems (IS) professionals. Based on Chi-square tests, the results reveal that most employers prefer entry level systems analysts with an undergraduate Computer Science degree. Furthermore, most of the employers prefer entry level systems analysts to have some years of experience as well as industry certifications. The results also reveal that there is a higher preference for entry level systems analysts who have non-technical and people skills (e.g., problem solving and oral communication). The empirical results from this study will inform IS educators as they develop future systems analysts. Additionally, the results will be useful to the aspiring systems analysts who need to make sure that they have the necessary job skills before graduating and entering the labor market.

Aim/Purpose: Collaborative, interdisciplinary research is growing rapidly, but we still have limited and fragmented understanding of what is arguably the heart of such research—collaborative, interdisciplinary reasoning (CIR). Background: This article integrates neo-Pragmatist theories of reasoning with insights from literature on interdisciplinary research to develop a working definition of collaborative, interdisciplinary reasoning. The article then applies this definition to an empirical example to demonstrate its utility. Methodology: The empirical example is an excerpt from a Toolbox workshop transcript. The article reconstructs a cogent, inductive, interdisciplinary argument from the excerpt to show how CIR can proceed in an actual team. Contribution: The study contributes operational definitions of ‘reasoning together’ and ‘collaborative, interdisciplinary reasoning’ to existing literature. It also demonstrates empirical methods for operationalizing these definitions, with the argument reconstruction providing a brief case study in how teams reason together. Findings: 1. Collaborative, interdisciplinary reasoning is the attempted integration of disciplinary contributions to exchange, evaluate, and assert claims that enable shared understanding and eventually action in a local context. 2. Pragma-dialectic argument reconstruction with conversation analysis is a method for observing such reasoning from a transcript. 3. The example team developed a strong inductive argument to integrate their disciplinary contributions about modeling. Recommendations for Practitioners: 1. Interdisciplinary work requires agreeing with teammates about what is assertible and why. 2. To assert something together legitimately requires making a cogent, integrated argument. Recommendation for Researchers: 1. An argument is the basic unit of analysis for interdisciplinary integration. 2. To assess the argument’s cogency, it is helpful to reconstruct it using pragma-dialectic principles and conversation analysis tools. 3. To assess the argument’s interdisciplinary integration and participant roles in the integration, it is helpful to graph the flow of words as a Sankey chart from participant-disciplines to the argument conclusion. Future Research: How does this definition of CIR relate to other interdisciplinary ‘cognition’ or ‘learning’ type theories? How can practitioners and theorists tell the difference between true intersubjectivity and superficial agreeableness in these dialogues? What makes an instance of CIR ‘good’ or ‘bad’? How does collaborative, transdisciplinary reasoning differ from CIR, if at all?

Aim/Purpose: Use of the term “rigor” is ubiquitous in the research community. But do we actually know what it means, and how it applies to transdisciplinary research? Background: Too often, rigor is presumed to mean following an established research protocol scrupulously. Unfortunately, that frequently leads to research with little or no impact. Methodology: We identify a sample of 62 articles with “rigor” in the title and analyze their content in order to capture the range of perspectives on rigor. We then analyze how these findings might apply to informing science. Contribution: This paper offers an approach to defining rigor that is theory based and appropriate for transdisciplinary research. Findings: Rigor definitions tend to fall into one of two categories: criteria-based and compliance-based. Which is appropriate depends on the research context. Even more variation was found with respect to relevance, which is often used as a catch-all for research characteristics that aren’t associated with rigor. Recommendations for Practitioners: Recognize that when researchers are referring to rigor and relevance, they of-ten mean these to apply to other researchers rather than to practice. When funding research, it is important to understand who the rigor and relevance are directed towards. Recommendations for Researchers: When using the term “rigor”, think carefully about which meaning is intended and be transparent about that meaning in your writing. Impact on Society: A great deal of public money is invested in achieving research rigor. Society should be aware of what it is buying with that funding. Future Research: Developing a better understanding of research fitness and the factors that contribute to it.

Aim/Purpose: To discuss the Design Science Research approach by comparing some of its canons with observed practices in projects in which it is applied, in order to understand and structure it better. Background: Recent criticisms of the application of the Design Science Research (DSR) approach have pointed out the need to make it more approachable and less confusing to overcome deficiencies such as the unrealistic evaluation. Methodology: We identified and analyzed 92 articles that presented artifacts developed from DSR projects and another 60 articles with preceding or subsequent actions associated with these 92 projects. We applied the content analysis technique to these 152 articles, enabling the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of activities performed and the types of artifacts involved. Contribution: The content analysis of these 152 articles enabled the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of the activities and types of artifacts involved. Evidence was found of a precedence hierarchy among different types of artifacts, as well as nine new opportunities for entry points for the continuity of DSR studies. Only 14% of the DSR artifacts underwent an evaluation by typical end users, characterizing a tenth type of entry point. Regarding the evaluation process, four aspects were identified, which demonstrated that 86% of DSR artifact evaluations are unrealistic. Findings: We identified and defined a set of attributes that allows a better characterization and structuring of the artifact evaluation process. Analyzing the field data, we inferred a precedence hierarchy for different artifacts types, as well as nine new opportunities for entry points for the continuity of DSR studies. Recommendation for Researchers: The four attributes identified for analyzing evaluation processes serve as guidelines for practitioners and researchers to achieve a realistic evaluation of artifacts. Future Research: The nine new entry points identified serve as an inspiration for researchers to give continuity to DSR projects.

Aim/Purpose: Embitterment comprises a stress-related response to unjust life experiences. Studies have found that it can have a toll on employees’ well-being. However, research on this matter is still in its infancy. Background: Within the scope of the present study, Ι sought to investigate how embitterment relates to burnout – the prolonged consequence of stress. This study further explored whether breaches of psychological contracts can trigger embitterment. Methodology: The study employed a cross-sectional design where two hundred and eight (N = 208) participants from the general population completed an online survey. Contribution: Findings suggest that the toll of embitterment might be much more than what research has suggested so far. Those who experience embitterment can become emotionally exhausted and cynical and these findings can be especially useful when identifying embitterment. Findings: It was found that embitterment related to higher burnout levels and more specifically emotional exhaustion and cynicism. No significant findings were revealed for the relationship between professional inefficacy and embitterment. Also, psychological contract breach was found to be a significant predictor of embitterment, supporting further the notion that perceptions of injustice can trigger feelings of embitterment. Results also showed that embitterment mediated the relationship between psychological contract breach and burnout. Recommendation for Researchers: The study highlights the notion that fairness is a key precursor of embitterment, and this finding is essential when developing interventions to prevent embitterment from arising. Future Research: Future research could use a longitudinal study design to unravel whether burnout represents a precondition or the consequence of embitterment. Future research should also include more objective measures. For example, it would be useful to pair self-report data with more objective measures on embitterment (e.g. clinical interviews).

Aim/Purpose: The aim of this qualitative study is to explore social workers’ representations of hate speech (HS), the effects it has on the community, and socio-educational actions aimed at combating it. Background: Hate speech is any form of communication that promotes discrimination, hostility, or violence towards individuals or groups based on their identity. Although its spread is facilitated by particular characteristics of the online environment (such as anonymity and ubiquity), HS has pervasive consequences even in offline reality. In the last year, several community-based projects involving social workers have been implemented to address the problem. Professionals who work with the community play a crucial strategic role in the fight against HS. Therefore, it is imperative to begin by considering their perspective to gain a better understanding of HS and how it can be controlled. Methodology: Following a psycho-sociological perspective, six focus groups were conducted with 42 social workers (19 females and 23 males) belonging to associations or organizations of a different nature, such as NGOs, local social promotion organizations, universities, private social organizations, whose mission included the theme of countering hate speech. Contribution: There are no studies in the literature that consider the views of operators working to counter hate speech within communities. Our study contributes to deepening the knowledge of the phenomenon and identifying the most suitable strategies to combat it, starting from an approach that does not only focus on the online or offline dimension but on an integrated “onlife” approach. The study offers an outline of how hate speech affects the daily lives of the communities in the cities of Torino, Palermo, and Ancona. Additionally, it proposes a grassroots strategy to address hate speech. Findings: The results suggest that strategies effective in countering hate speech in offline contexts may not be effective in online environments. The technological revolution brought about by social media has significantly expanded the potential audience while weakening traditional communities. Addressing hate speech in the present context requires efforts to rebuild fragmented communities, gaining a thorough understanding of how the new virtual public space operates, and prioritizing hate speech as a specific concern only after these initial steps. Recommendation for Researchers: Hate speech represents a violation of human rights and a threat to freedom of expression. The spread of hateful messages has a significant impact on society, as it can negatively influence social cohesion, diversity, and inclusion. Understanding the causes and consequences of hate speech can help develop effective strategies to prevent and counter it, which is a crucial challenge for both research and society as a whole. Studying hate speech should involve the use of interdisciplinary methodologies. Future Research: Future research should focus on comparative analysis at the European Union level to assess the ability of civil society in other countries to develop effective strategies against hate speech.

[Meg O’Neill] 00:08 Hello and welcome to the Berkeley Technology Law Journal podcast. My name is Meg O’Neill and I am one of the editors of the podcast. Today we are excited to share with you a conversation between Berkeley Law LLM student Franco Dellafiori, and Professor Bertrall Ross. Professor ...

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Recent innovations in additive manufacturing (AM) have proven its efficacy for not only the manufacturing industry but also the healthcare industry. Researchers from Cal Poly, San Luis Obispo, and California State University Long Beach are developing a model that will determine the optimal locations for additive manufacturing hubs that can effectively serve both the manufacturing and healthcare industries. This paper will focus on providing an overview of the healthcare industry's unique needs for an AM hub and summarise the specific inputs for the model. The methods used to gather information include extensive literature research on current practices of AM models in healthcare and an inclusive survey of healthcare practitioners. This includes findings on AM's use for surgical planning and training models, the workflow to generate them, sourcing methods, and the AM techniques and materials used. This paper seeks to utilise the information gathered through literature research and surveys to provide guidance for the initial development of an AM hub location model that locates optimal service locations.

What is Programmatic OTT Advertising? OTT programmatic advertising revolutionizes how brands reach viewers on streaming platforms. Automating ad buying and leveraging real-time data offers precise audience targeting and enhanced campaign efficiency. This method stands out compared to traditional TV ads. In this article, we’ll break down what OTT programmatic advertising is, its key [...]

What is Programmatic Direct? In this article, we will delve into Programmatic Direct, a technique by which advertisers utilize automated technology to buy digital advertising space directly from publishers. By doing so, the middlemen are eliminated, resulting in more focused and effective ad placements. Programmatic Direct simplifies sales processes, making it easier for [...]

What is Programmatic OOH? Programmatic Out-of-Home (OOH) refers to the automated buying and selling of Digital Out-of-Home (DOOH) advertising spaces using data-driven technology. Unlike traditional OOH, which requires manual negotiations, programmatic OOH utilizes software to optimize ad placements efficiently and target specific audiences based on data. This article explores the benefits, workings, and [...]

What is Programmatic TV Advertising? Programmatic TV advertising uses data and automated technology to buy and place TV ads more effectively. Unlike traditional methods relying on show ratings, it targets audience data, optimizing ad placements in real time. This introduction will explore what programmatic TV advertising is, its benefits, and steps to start [...]

What Is Supply Path Optimization? This article delves into the workings of Supply Path Optimization (SPO), an approach designed to refine the ad purchasing procedure by minimizing intermediaries between advertisers and their intended audiences, thus promoting cost-effectiveness, increased efficiency, and transparency. It will also cover the advantages of SPO and provide strategies for [...]

What is Display & Video 360? Display & Video 360 (DV360) is Google’s advanced programmatic advertising platform that enables marketers to purchase and manage digital ads efficiently. Leveraging real-time bidding and precise targeting features, DV360 facilitates the execution of impactful display and video campaigns across the internet. This article walks you through the [...]

What is an Ad SDK? Ad Software Development Kit (SDK) advertising allows mobile app developers to quickly integrate ads and monetize their apps. This guide covers what SDK advertising is, its key benefits, and how to implement it effectively. Key Takeaways SDK advertising simplifies the integration of ads in mobile apps, enabling developers [...]

What is Biddable Media? Biddable media refers to digital advertising space purchased through real-time bidding. It’s a flexible and efficient way to ensure your ads reach the right audience. This article will cover the basics of biddable media and its benefits for your marketing strategy. Key Takeaways Biddable media operates through a real-time [...]

'What's going on?' Within the context of our critically-informed teaching practice, we see moments of deep learning and reflexivity in classroom discussions and assessments. Yet, these moments of criticality are interspersed with surface learning and reflection. We draw on dichotomous, linear developmental, and messy explanations of learning processes to empirically explore the learning journeys of 20 international Chinese and 42 domestic New Zealand students. We find contradictions within our own data, and between our findings and the extant literature. We conclude that expressions of surface learning and reflection are considerably more complex than they first appear. Moreover, developing critical reflexivity is a far more subtle, messy, and emotional experience than previously understood. We present the theoretical and pedagogical significance of these findings when we consider the implications for the learning process and the practice of management education.

Power in business schools is ubiquitous. We develop individuals for powerfull positions. Yet, the way we deal with power is limited by our utilitarian focus, avoiding the visceral nature of power. In relation to this we address two questions business schools don't ask: what is the experiential nature of power? How are we teaching power? We use experiential, aesthetic developments on power in the social sciences to critique the rational-utilitarian stance on power found in business schools, drawing on the work of Dewey and French philosopher Levinas to treat power as a lived phenomenon. We overview and critique approaches to teaching power in business curricula informed by our own research on Executive MBA students learning through choral conducting. Taking an appreciative-positive stance, this research showed students developing new, non-rational, non-utilitarian understandings of power. They developed nuanced learning on the feeling, relationality and responsibility of exercising power. Coming out of this we argue for more experiential and reflexive learning methods to be applied to the phenomena of power. Finally we shine a reflexive light on ourselves and our 'power to profess', suggesting ways we can change our own practice to better prepare our students for the power they wield.

N/A -- no abstracts in FTEs I believe

We extend the knowledge-based perspective to consider the impact of spin-out founders on knowledge transfer to new ventures. We argue that existing theory largely ignores the founder's role as team catalyst who mobilizes a team and transmits the team's knowledge to a new venture. We address this gap by building theory on the role of a spin-out founder as a facilitator of co-mobility, and whose impact on firm outcomes is mediated by the size and organizational experience of the recruited team. The support for our hypotheses, through use of linked employee-employer US Census data from the legal services industry, has theoretical and practical implications for the knowledge-based view and human resource strategies for both existing and entrepreneurial firms.

Book Review

So, any thought of disobeying them must be destroyed – along with anyone daring to spread the idea that the oath is to the Constitution, not to a regime and its unlawful orders.

Discover the Personal Defense Weapon (PDW) - the perfect balance of firepower and portability for those in need of a defensive weapon.

Opinion piece: submitted by SAP Concur For the past few months, most companies have focused their energy on how to adapt to a remote work environment and keep the business moving forward. But, what happens when shelter-in-place restrictions are eased...

Random Photo: Thank You, ChatGPT!

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Hey Geeks! Some big news hitting the wires today. A massive tech outage has thrown a wrench into major services worldwide, messing with everything from public transport to hospitals and banks. Here's the scoop: What's Causing the Outage? The chaos seems to be linked to a software update from Crowdstrike, a well-known player in cybersecurity, providing services to Fortune 500 companies and government agencies, that affected Microsoft cloud systems. This update caused a glitch in Falcon; their cloud file protection system effectively blocke...

Fresh on the heels of a TiKtok ban, the US Government has banned Kapsery Software in the US due to its ties to the Russian Government. Ban Implementation Details On June 20, 2024, the https://www.reuters.com/technology/biden-ban-us-sales-kaspersky-software-over-ties-russia-source-says-2024-06-20/US government announced new restrictions on inbound sales of Kaspersky software in the US will come into effect on September 29, 2024, giving businesses 100 days to transition to alternative cybersecurity solutions. The ban will also apply to software up...

Once you’ve been in a car accident and the insurance company decides to total your vehicle, one of the main things you’ll have to decide is whether to keep the car or not. Insurance companies will typically “total” a vehicle if the cost to repair it is more than the car’s value. And in some […]

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Raise your hand if you’ve ever lost something. If both of your hands are still down, I’m assuming you’re lying or don’t feel like getting questioned by those around you for looking inexplicably silly with your hands up. Whether it’s your wallet, your keys or your sunglasses, you’ve misplaced or left something at some point […]

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When you buy a car, one of the most important factors is durability, i.e. how long the vehicle will likely last.  Car search engine iSeeCars recently analyzed and ranked the cars that people have kept for 15 years or more. For its report, iSeeCars looked at more than 929,000 vehicles to determine which models are […]

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For parents of children with disabilities, tax-free Achieving a Better Life Experience (ABLE) accounts can be an invaluable tool.

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Last year, the Federal Trade Commission (FTC) received more than 1 million reports of identity theft! And the AARP found that, “American adults lost a total of $43 billion to identity fraud in 2023.” So, it makes sense that — if protection exists against identity theft exists — you want it. There’s no shortage of […]

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