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In mid-July 2020, the social media site Twitter had over 100 of its most prominent user accounts start to tweet requests to send Bitcoin to specified Bitcoin wallets. The requests promised that the Bitcoin senders would receive their money back doubled, as a gesture of charity amidst the COVID-19 pandemic. The attack appears to have been carried out by a small group of hackers, leveraging social engineering to get access to internal Twitter support tools. These tools allowed the hackers to gain full control of the high-profile user accounts and post messages on their behalf. The attack provides many paths for investigation into the prevention, response, and impacts of cybersecurity breaches.

Profound technological changes and high network levels have triggered competitive innovations and leadership style among firms. However, few studies have explored the leadership style needed to innovate within the duality of coopetition capabilities and in-learning. Therefore, the authors explore how leadership style affects innovation performance in the context of financial service firms. Using a PLS analytical approach and dynamic capability perspective (DCP), the authors find that coopetition capability positively mediates the relationship between leadership style and innovation performance. The finding also indicates that in-learning negatively moderates the relationship between coopetition capability and innovation performance.

The Principles of Information Systems course taught at a medium-sized Midwest University consists of Information Systems conceptual material plus Microsoft Excel and Access skills that the Information Systems faculty feel are most important to business students from all business disciplines. These skills range from using basic mathematic functions and formulas to complex "what-if" statements for Microsoft Excel spreadsheets. Microsoft Access topics range from constructing simple tables, queries, forms, and reports to complex calculations using Expression Builder. However, aside from a few comments from faculty teaching in accounting, economics, management, finance, or marketing, it is not known specifically what specific skills that faculty from other major universities consider important for successful completion of their programs. A survey consisting of 18 spreadsheet and database case attributes was sent to graduating seniors, business faculty and to area businesses requesting that they rate each case as to its importance in their specific major, business curriculum or knowledge skill set respectively. Each participant was asked to select the appropriate block on a Likert scale ranging from "not very important" to "very important" for each of all 18 cases. The responses were returned by 18 students, 22 faculty, and 81 area businesses. While there was nothing that indicated that the Information Systems faculty were not teaching important skills there were some interesting facts noted. Considering this, the faculty has decided to broaden the scope within each case to ensure fluency in Excel and Access by employing a fewer number of cases and more emphasis on specific skills.

A large and growing body of research supports the view that the small-group learning structure can be an effective tool to enhance student performance and encourage innovative problem solving. This paper explains in detail how the framework of the popular television reality show Survivor has been adapted to form a vehicle for a college level group project in business strategy. The example presented is a term project in Real Estate Finance, but this teaching strategy can be applied to any complex business problem. The use of this revised version of the Survivor Game in the curriculum has been associated with intensified group interaction, and a very enthusiastic, analytical and creative attitude toward learning. The game proves to be a catalyst to critical evaluation of complex business problems that would be nearly impossible to explain in a traditional lecture format, and encourages students to find creative strategies to address these problems.

Public education reformers have created a widespread expectation of school choice among school consumers. School leaders adopt rigorous academic programs, like the International Baccalaureate (IB) Diploma Programme (DP) and Career Programme (CP), to improve their market position in the competitive landscape. While ample research has investigated the nature of school choice policies, few studies have looked directly at marketing language or materials to probe the meanings of the sales pitches used by schools to recruit students for selective enrollment programs. This study aimed to develop understandings of meanings that emerge from the marketing discourses of specialized secondary programs. It draws from document analysis (Prior, 2003) and multi-modal social semiotics (Hodge & Kress, 1988; Kress, 2010) to investigate the marketing of IB Programmes in two U.S. high schools. American schools operate within the quasi-market education system and engender business ideologies meant to attract program participants and supportive parents. The policy discourses of school choice are maneuvered into marketing narratives to shape the 21st century student-subject.

School reform in the past several decades has taken a "modernist" bent in that it has focused on quantitatively based accountability systems modeled after business (Ravitch, 2013; Tienken & Orlich, 2013). The author uses a model devised by a Finnish scholar to demonstrate that 1) these reforms are indeed modernist, and 2) the private good is being promoted over the public good, and 3) that privatization and standardized tests are the primary tactics used to force schools to comply with this vision for schooling.

This paper describes an interdisciplinary effort involving faculty from five different disciplines who came together to develop an interdisciplinary, open, general education cybersecurity course. The course, Cybersecurity, Technology, and Society, brings together ideas from interdisciplinary studies, information technology, engineering, business, computer science, criminal justice, and philosophy to provide students an interdisciplinary introduction to cybersecurity. We provide an overview of the rationale for the course, the process the authors went through developing the course, a summary of the course modules, details about the open education resources used as readings, and the types of assignments included in the class. We conclude by offering recommendations for others developing similar courses.

The urgency of the analyzed issue is due to lack of attention of heads of service companies to the theory and methodology of strategic management, methods and models of management decision-making in times of economic instability. The purpose of the article is to develop theoretical positions and methodical recommendations on the formation of the logistical approach to the development strategy of service companies. The leading approach to the study of this issue is the logistical approach, which allows identifying the most significant factors, carrying out the quantitative assessment of their interaction with each other and determining the extent of their influence on the parameters of the system under research. This research presents a methodology for the selection of optimal functional business strategies of service companies from the alternative, based on the use of economic and mathematical modeling techniques. The authors assess the parameters of the micro, macro and internal environment of the company, represent the company's business profile, a general development strategy based on the determination of optimal logistics, marketing, production, financial and human resource management strategies for individual strategic business areas. The contents of the article may be useful for managers of service companies, auto-transport enterprises in making rational decisions on the formation of the optimal business development strategy in uncertain environmental conditions.

The relevance of the research: the relevance of research problem caused the necessity in organization investment policy of Russian enterprises for intensification of their strategic investment development and insufficient development of theoretical and methodological aspects in attracting financial resources for the realization of investment decisions. Purpose of the research: the purpose of this article concludes in developing measures to overcome the negative impact of the factors limiting the financial support of the investment activity of Russian companies in the context of a systematic approach. Methods of research: the main method of research of this problem is dialectical method of cognition of reality, allowing to investigate this issue thoroughly and interpret scientific results. Results of the research: Identify issues that restrict financing and proposed measures to overcome the negative impact of the factors limiting the financial support of the investment activity of Russian companies, including the modernization of the tax policy and the depreciation policy of the enterprise, the solution lowered the carrying amount, and the residual value of fixed assets. Developed measures to promote the revitalization of financing strategic investment decisions on the basis of a common mechanism of tax regulation and amortization. Practical significance: realization of these measures could attract significant financial resources for intensification of the investment activity of Russian companies in the long term.

The urgency to study the problem is caused by the necessity to make management decisions in terms of reducing goods life cycle, reducing profitability of production, increasing speed of technological progress. In this context, this article aims to identify and elaborate the tools for integrated diagnostic of strategy efficiency, taking into account the relationship of parameters which characterize various spheres of enterprise activity, and to formulate integral indicator of strategic effectiveness, which can be accepted as the criterion for evaluating the effectiveness of strategic development. The leading approach to the study of this problem was the systems approach, used in the development of methods for efficiency evaluation of strategic development, it allows to identify priority factors of the strategic development of the company. The article substantiates the use of value approach to management as a methodical bases of diagnostics of the effectiveness of the strategic development of the industrial enterprises; the matrix tool was developed, supplementing the information-analytical foundation of management. The results of the research work may be useful for effectiveness evaluation of the strategic development of industrial enterprise and for identifying priority strategic development factors and making recommendations to improve the value of business.

The THINICE field campaign, based in Svalbard in August 2022, provided unique observations of summertime Arctic cyclones, their coupling with cloud cover, and their interactions with tropopause polar vortices and sea ice conditions. THINICE was motivated by the need to advance our understanding of these processes and to improve coupled models used to forecast weather and sea ice, as well as long-term projections of climate change in the Arctic. Two research aircraft were deployed with complementary instrumentation. The Service des Avions Frangais Instruments pour la Recherche en Environnement (Safire) Aerei da Trasporto Regionale 42 (ATR42) aircraft, equipped with the radar-lidar (RALI) remote sensing instrumentation and in situ cloud microphysics probes, flew in the midtroposphere to observe the wind and multiphase cloud structure of Arctic cyclones. The British Antarctic Survey Meteorological Airborne Science Instrumentation (MASIN) aircraft flew at low levels measuring sea ice properties, including surface brightness temperature, albedo and roughness, and the turbulent fluxes that mediate exchange of heat and momentum between the atmosphere and the surface. Long-duration instrumented balloons, operated by WindBorne Systems, sampled meteorological conditions within both cyclones and tropospheric polar vortices across the Arctic. Several novel findings are highlighted. Intense, shallow low-level jets along warm fronts were observed within three Arctic cyclones using the Doppler radar and turbulence probes. A detailed depiction of the interweaving layers of ice crystals and supercooled liquid water in mixed-phase clouds is revealed through the synergistic combination of the Doppler radar, the lidar, and in situ microphysical probes. Measurements of near-surface turbulent fluxes combined with remote sensing measurements of sea ice properties are being used to characterize atmosphere-sea ice interactions in the marginal ice zone. SIGNIFICANCE STATEMENT: Arctic cyclones can span several thousand kilometers and last several weeks, bringing strong winds, clouds, and precipitation across the remote Arctic and affecting the sea ice through wind stress, surface energy budget, and snow cover. Therefore, they play a key role in Arctic weather and climate. Motivated by the need to improve the coupled environmental prediction, the representation of cyclones, and their influence on the rapidly changing Arctic climate, the THINICE field campaign intensively observed several Arctic cyclones in August 2022 by operating two aircraft and launching steerable balloons. Key measurements of fine-scale features within Arctic cyclones are highlighted including low-level jets along fronts, mixed-phase clouds containing multiple layers of supercooled water, boundary layer turbulent fluxes, and sea ice properties beneath the cyclones. The ability of state-of-the-art numerical models, with and without coupling to dynamic sea ice models, in representing these cases and coupled processes is the focus of the ongoing work with an aim to improve prediction capabilities. KEYWORDS: Atmosphere; Arctic; Sea ice; Clouds; Jets; Aircraft observations, 1. Introduction The rapidly changing Arctic climate is one of the most alarming signals of global warming as it is having stark impacts on vulnerable ecological systems and indigenous people, [...]

This study tested a three-component community prevention intervention with alcohol businesses to reduce alcohol overservice and to reduce drinking and driving crashes using a longitudinal design. The intervention involved a responsible beverage serving practices toolkit, a series of on-site visits from law enforcement, and a supporting media campaign. The effort achieved a reduction in the monthly percentage of drivers arrested for driving under the influence who cited the alcohol-licensed establishments as the place of last drink, and the number of establishments mentioned 2+ times as well as a decline in alcohol-involved crashes in the 12-month postintervention period. Results supported a conclusion that the intensive intervention media can achieve a reduction in the frequency with which drinking drivers utilized bars and restaurants and overall impaired driving-related crashes.

Big Data are structured, semi-structured, unstructured, and raw data that are revolutionizing how we think about and use information in the 21st century. Big Data represents a paradigm shift from our prior use of traditional data assets over the past 30+ years, such as numeric and textual data, to generating and accessing petabytes and beyond of images and social media. Traditional databases stored only structured data consisting of letters and numbers, but in the era of Big Data a need arose to incorporate unstructured data as part of overall information management. The shift to Big Data started with the Internet boom of the mid to late 1990s and the "rich data" that could be collected through semi-structured and unstructured petabytes of behavioral, image, textual, and social media data. Social media, such a Facebook, Twitter, Wikis, Blogs, YouTube, etc., has also changed our view of data. Big Data is a relatively nascent field of study that has spawned the development of new hardware, software, and database architectures to handle the large volume of structured and unstructured data. However, the foundation for the exploration and analysis of Big Data is as old as the Information Age itself and is rooted in the field of communications. In this paper, the authors show how communication theory has developed in parallel with the development of the Information Age and how the application of convergent theories resulted in Big Data producing Business Intelligence.

Purpose: Information sharing is a relatively unexplored part of the information behaviour. The aim of this paper is to examine the research on the concept, as it appears in other bodies of literature and to draw out the key variables that appear to influence information sharing in different contexts. Methods: A literature review was carried out using the Scopus database, to identify the contexts and perspectives under which information sharing, information exchange or knowledge sharing has been discussed. Findings: A small number of key variables regularly appear in the information sharing literature. Some are limited to a particular context, e.g., sharing patient data in health care organizations, while others appear to have more general applicability. Four variables are identified that appear to be relatively common: trust, risk, reward (or benefit), and organizational proximity. Conclusion: The analysis presented could be employed both to guide an investigation into information sharing in organizations and to offer guidance to organizational management on the circumstances under which information sharing may take place readily, versus those circumstances under which sharing must be either negotiated or difficult to achieve. (Contains 1 table and 5 figures.)

Customer relationship management (CRM) is a core business strategy for most organizations. In today's global economy, it is essential for organizations to find ways of increasing their productivity. This article discusses the operations management's decision of customer relationships management. It is vital for a business to motivate its employees and use the best strategies to facilitate customer relations. The CRM-enabled strategy focuses on two organizations in the NE Ohio area: Progressive Corporation and KeyCorp Bank. The structure of this chapter is reflective of the qualitative business case study using best practices. Initially, a description of the companies' current strategies and software that promotes CRM is followed by some of its major strategic initiatives to foster the development of CRM. This basic case study approach aims to provide an understanding of the transitions, challenges, and the implementation of CRM in these organizations.

History has shown effective training techniques can produce significant business results especially in customer service, product development, and capability in obtaining new skill sets. This linkage of training to business strategy has given many businesses the needed competitive edge in today's global market. In today's technology age, information and communication processing is easier than before and many times more cost effective. It is only logical for businesses to incorporate distance training and etraining to reach their training objectives. The key to utilizing these methods is how to sustain the programs without diminishing the results of the training goals. Quality management initiatives provide a feasible path for incorporating distance training, whether via the Internet, audio conferencing, video conferencing, or postal delivering methods. This paper will explore the manifestations of quality management processes on sustaining distance training in a business environment.

Observing the Dynamics of the Southern Ocean: Present Challenges and Future Strategies What: A workshop funded by NSF's Office of Polar Programs to recommend research and fieldwork priorities for Southern Ocean physical oceanography. When: 17-19 April 2024 Where: Scripps Institution of Oceanography, San Diego, California, and online KEYWORDS: Southern Ocean; Ocean circulation; Ocean dynamics; Community, 1. Introduction The Southern Ocean has an outsized influence on the global climate. The region takes up a disproportionate amount of anthropogenic heat and C[O.sub.2], mediates the transport of heat [...]

Difficulty in using observations to isolate the impacts of aerosols from meteorology on deep convection often stems from the inability to resolve the spatiotemporal variations in the environment serving as the storm's inflow region. During the U.S. Department of Energy (DOE) Tracking Aerosol Convection interactions Experiment (TRACER) in June-September 2022, a Texas A&M University (TAMU) team conducted a mobile field campaign to characterize the meteorological and aerosol variability in air masses that serve as inflow to convection across the ubiquitous mesoscale boundaries associated with the sea and bay breezes in the Houston, Texas, region. These boundaries propagate inland over the fixed DOE Atmospheric Radiation Measurement (ARM) sites. However, convection occurs on either or both the continental or maritime sides or along the boundary. The maritime and continental air masses serving as convection inflow may be quite distinct, with different meteorological and aerosol characteristics that fixed- site measurements cannot simultaneously sample. Thus, a primary objective of TAMU TRACER was to provide mobile measurements similar to those at the fixed sites, but in the opposite air mass across these moving mesoscale boundaries. TAMU TRACER collected radiosonde, lidar, aerosol, cloud condensation nuclei (CCN), and ice nucleating particle (INP) measurements on 29 enhanced operations days covering a variety of maritime, continental, outflow, and prefrontal air masses. This paper summarizes the TAMU TRACER deployment and measurement strategy, instruments, and available datasets and provides sample cases highlighting differences between these mobile measurements and those made at the ARM sites. We also highlight the exceptional TAMU TRACER undergraduate student participation in high-impact learning activities through forecasting and field deployment opportunities. SIGNIFICANCE STATEMENT: The environment influencing storms often varies across scales that are not always adequately captured by measurements collected at fixed locations. This paper describes our strategy for collecting mobile measurements of the aerosols and meteorology that influenced convection initiated by the sea breeze across the Houston, Texas, region. We show several examples of the local variations in aerosols and meteorology influencing storms that were captured by our mobile platform that were different from those sampled at fixed observation sites. We also highlight potential future studies and science questions that could be addressed using our dataset. KEYWORDS: Deep convection; Sea breezes; Aerosols; Cloud microphysics; Soundings; Aerosol-cloud interaction, 1. Motivation and goals Deep convective systems play a significant role in a number of critical components of the climate system through their large contribution to the hydrological cycle, feedback [...]

Climate change is a global existential threat with far-reaching implications for natural ecosystems, biodiversity, and human societies. Adapting to and mitigating climate change require global cooperation and participation from all mindsets and belief systems, including the traditionally western weather, water, and climate enterprise (WWCE), faith-based understandings (FBUs), and Indigenous Knowledges (IKs). Epistemological differences and language barriers between knowledges and the historical marginalization and exploitation of IKs by western ideologies and some FBUs make coproduction and relationship building challenging. Acknowledging their historical tensions and distinctions, there is meaningful overlap between the WWCE, FBUs, and IKs on environmental stewardship, justice, and mental health. This article highlights three themes at the intersection of FBUs, IKs, and environmentalism: 1) increasing faith- based and Indigenous community resilience to weather extremes; 2) developing kindergarten through grade 12 (K-12) and collegiate weather, water, and climate education that weaves FBUs and IKs; and 3) increasing communication flows between weather, water, and climate science, and faith-based and Indigenous communities. These initiatives aim to foster relationships and trust between the WWCE, faith-based, and Indigenous communities; transform the WWCE into a multiknowledge enterprise; and promote a climate-resilient society. The American Meteorological Society's Committee on Spirituality, Multifaith Outreach, and Science (COSMOS) plays a pivotal role in facilitating dialogue and collaboration on these themes while acknowledging distinctions and historical tensions between FBUs, IKs, and the WWCE. Collaborative efforts between the WWCE, faith- based, and Indigenous communities hold immense potential for addressing climate challenges, fostering resilience, and building a more inclusive and sustainable future grounded in mutual respect and understanding. SIGNIFICANCE STATEMENT: This article addresses how weaving faith-based understandings (FBUs) and Indigenous Knowledges (IKs) into the weather, water, and climate enterprise (WWCE) can effectively tackle climate change, extreme weather, and other environmental challenges. Emphasizing the need for a shift in mindset and community dialogue, the path to adaptation begins with raising awareness and fostering discussions that bridge science and societal values. This includes acknowledging the historical tensions that exist between FBUs, IKs, and western science and being honest about the challenges and distinctions that arise from these tensions. Through partnerships highlighted between the American Meteorological Society (AMS), Indigenous groups, and multifaith organizations, we see practical outcomes: enhanced weather preparedness, improved mental well-being, holistic environmental solutions, and informed policymaking. These collaborations are crucial for building a resilient and sustainable future by connecting community strengths through a multiknowledge scientific and cultural approach. KEYWORDS: Climate change; Adaptation; Communications/ decision making; Education; Indigenous knowledge; Resilience, 1. Introduction Our changing climate presents an urgent, global, and existential threat with profound implications for natural ecosystems, biodiversity, and human societies worldwide (IPCC 2022). The urgent need to confront [...]

Exploring Unprecedented Extremes What: Facing the urgent challenge of extreme weather and climate-related events, our societal frameworks for 'resilience' and 'adaptation' are proving to be insufficient. This paper introduces the [...]

Some curricular elements are threshold concepts that involve "troublesome knowledge," not because they are difficult for students to comprehend per se, but because they are challenging for students to fully appreciate. In this article, we suggest that entrepreneurial failure is a threshold concept in entrepreneurship courses because students may get so fixated on failure's economic costs that they neither fully appreciate the social and emotional costs nor recognize the potential benefits of failure to entrepreneurs. In a multiphase empirical study, we explore the effects of entrepreneurial experiences on how students categorize and conceptualize entrepreneurial failure. We find that students with entrepreneurial experiences provide more complex, multicategorical descriptions of failure and are more likely to represent the useful aspects of failure in their descriptions. Our findings highlight the role of experiences in facilitating students' understanding of the threshold concept of entrepreneurial failure and suggest that entrepreneurship educators can leverage student experiences to promote more complex representations that account for both the costs and benefits of failure.

Enterprise Resource Planning (ERP) systems in business environments demand multidisciplinary understanding and collaboration between functional departments. The traditional educational paradigm isolates the learning of each functional discipline as if business people operated in functional isolation. ERP system value can only be realized by collaborating across business functions. Integral to the success of ERP use is the tacit or unconscious understanding of the concepts underlying business processes and the dynamic interplay of collaborating business functions. Resistance to ERP systems often occur due to the high complexity of these business processes. This study describes an experiment in ERP based on an immersive experiential learning environment using the leading commercial ERP system to create a realistic and dynamic business situation. Multidisciplinary knowledge is measured by multiple methods of self-reported and knowledge structure assessment. Survey measures of both declarative and tacit knowledge are used to assess student learning, and standard measures assess perceived resistance to ERP use. Results show perceived complexity to be a parsimonious predictor of resistance to ERP use. Findings further support the importance of assessing tacit knowledge (gained from conceptual experiential learning), and demonstrates avenues to create a highly effective multidisciplinary learning program.

Over the last decade, supercell simulations and observations with ever-increasing resolution have provided new insights into the vortex-scale processes of tornado formation. This article incorporates these and other recent findings into the existing three-step model by adding an additional fourth stage. The goal is to provide an updated and clear picture of the physical processes occurring during tornadogenesis. Specifically, we emphasize the importance of the low-level wind shear and mesocyclone for tornado potential, the organization and interaction of relatively small-scale pretornadic vertical vorticity maxima, and the transition to a tornado-characteristic flow. Based on these insights, guiding research questions are formulated for the decade ahead. SIGNIFICANCE STATEMENT: This article provides a nontechnical overview of how tornadoes form. Sequentially, the most important processes include the initial creation of rotating updrafts, the development of disorganized patches of rotation at the surface, the organization of these patches into a more defined, symmetric vortex, and the final transition into a fully developed tornado in which air turns abruptly upward very near the surface. Based on this proposed conceptual model, guiding research questions are formulated for the decade ahead. KEYWORDS: Tornadogenesis; Severe storms; Tornadoes; Radars/Radar observations; Supercells, 1. How does a tornado form? This is perhaps one of the most elementary yet enduring questions in meteorology. Even though severe-storm research has focused on this problem for over [...]

The Hurricane Weather Research and Forecasting Model (HWRF) was the flagship hurricane model at NOAA's National Centers for Environmental Prediction for 16 years and a state-of-the-art tool for tropical cyclone (TC) intensity prediction at the National Weather Service and across the globe. HWRF was a joint development between NOAA research and operations, specifically the Environmental Modeling Center and the Atlantic Oceanographic and Meteorological Laboratory. Significant support also came from the National Hurricane Center, Developmental Testbed Center, University Corporation for Atmospheric Research, universities, cooperative institutes, and the TC community. In the North Atlantic basin, where most improvement efforts focused, HWRF intensity forecast errors decreased by 45%-50% at many lead times between 2007 and 2022. These large improvements resulted from increases in horizontal and vertical resolution, as well as advances in model physics and data assimilation. HWRF intensity forecasts performed particularly well over the Gulf of Mexico in recent years, providing useful guidance for a large number of impactful landfalling hurricanes. Such advances were made possible not only by significant gains in computing but also through substantial investment from the Hurricane Forecast Improvement Program. SIGNIFICANCE STATEMENT: HWRF is considered one of the most important and successful ocean-coupled, regional numerical weather prediction models. This work documents HWRF forecast performance for TCs in the North Atlantic since its operational inception (2007-22). Track, intensity, and storm size (wind radii) forecasts all showed significant error reductions and skill improvements, including 45%-50% lower intensity errors. HWRF intensity forecasts showed marked improvement for rapid intensification events, especially in the Gulf of Mexico, where numerous impactful TCs made landfall throughout HWRF's lifetime. HWRF's impressive performance led to its expanded use as guidance for official TC forecasts and as a research tool across the TC community. These successes paved the way for NOAA's next-generation hurricane model, the Hurricane Analysis and Forecast System. KEYWORDS: Extreme events; Hurricanes/ typhoons; Tropical cyclones; Short-range prediction; Model evaluation/ performance; Numerical weather prediction/ forecasting, 1. Introduction (the rise of dynamical hurricane models at NOAA) Tropical cyclone (TC) forecast errors have markedly decreased over the past two decades, largely due to improved numerical weather prediction [...]

This article investigates students' perceptions of the relationship between Problem-Solving and the activities and resources used in a Web-based course on the fundamentals of Information Technology at a university in Montreal, Canada. We assess for the different learning components of the course, the extent of perceived problem-solving skills acquisition including research, creativity and critical thinking skills. The course entailed two categories of learning, namely resources- based and interactive components. The study aimed at answering the following questions: 1) To what extent do students understand the definitions of Problem-solving, Research, and Creative Idea Generation skills, and Critical Thinking skills? (2) What is the relative contribution of the various learning components (activities and resources) of the course to the perceived acquisition of Problem-Solving, Research, and Creative Idea Generations skills, and Critical Thinking skills; (3) Is the understanding of the definitions correlated with the perceived contributions of the learning components (activities and resources) of the course to the skills development? (4) To what extent is perceived Problem-solving skill acquisition explained by the acquisition of the other three skills?

This article introduces an experiential exercise that enhances students' ability to identify ethical issues and to respond to them in ways that consider the relationship between organizational factors and ethical action. Students identify a required number of ethical incidents in their workplaces during a specified period. Students submit a written description for each incident, drawing from moral philosophical frameworks and/or other ethical concepts to label the issue as one that either exemplifies a "best practice" or "raises concern." For "best practice" examples, students consider the implications of the practice on the organization and its stakeholders and whether and how the practice could be improved. For examples that "raise concern," students explain what the ethically appropriate action would be, indicate whether they would take that action, report any reservations they have about taking that right action, and consider how to behave ethically in a way that would bring about desired outcomes without incurring negative outcomes. Then, a subset of submissions is selected for an in-class discussion. Using examples from students' own experiences engages them and underscores for them the relevance of business ethics issues. Instructions for facilitating classroom discussion and variations for adapting the exercise are provided. (Contains 5 notes and 1 table.)