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If business success were the elixir of life, there have been, and will always be, many who claim to have its formula. Each attempts to sell a new generation this complex, ever‐changing solution, and does so with concepts and ideas which are, perhaps, inordinately simplistic in relation to the problem, but which nevertheless can be comprehended. Considers the selling of solutions via abducted concepts and ideas as entrepreneurship. It is a skill to be valued, but it is not without its problems for the business practitioner, as its outcome in terms of downsizing is subsequently proving.

Classical (rationalistic) management science is based on an image of what constitutes scientific practice. However, the arena from which this image emanates has moved on quite considerably. As to what now constitutes science, we are drawn to the fact that the idea of an autarkic subject discipline is disappearing and being replaced by a new (cyborg) mode of thinking. Thus, for a scientific, not scientistic, management science we should consider cyborgology: management science as a cyborg science, something more than the empty rhetoric that this label at first implies.

In this paper, I examine Philip Selznick’s sustained engagement with the problems of organizational responsibility and integrity. I first discuss how Selznick conceived of integrity and responsibility, and the role of institutionalization in creating an organizational and institutional context conducive for reinforcing organizational integrity and responsibility. I then turn to how organizational integrity and responsibility can be problematical, highlighting threats Selznick identified in his work that be believed represented significant challenges for organizations and their leaders. I end the paper by considering where other organizational scholars have been able to pursue research relevant to the problems of organizational integrity and responsibility, and where there might be opportunities for further research on these problems and related issues.

The long-term financial stability of hospital systems represents a “grand challenge” in health care. New ownership forms, such as private equity (PE), promise to achieve better financial performance than nonprofit or for-profit systems. In this study, we compare two systems with many similarities, but radically different ownership structures, missions, governance, and merger and acquisition (M&A) strategies. Both were nonprofit, religious systems serving low-income communities – Montefiore Health System and Caritas Christi Health Care.

Montefiore's M&A strategy was to invest in local hospitals and create an integrated regional system, increasing revenues by adding primary doctors and community hospitals as feeders into the system and achieving efficiencies through effective resource allocation across specialized units. Slow and steady timing of acquisitions allowed for organizational learning and balancing of debt and equity. By 2019, it owned 11 hospitals with 40,000 employees and had strong positive financials and low reliance on debt.

By contrast, in 2010, PE firm Cerberus Capital bought out Caritas (renamed Steward Health Care System) and took control of the Board of Directors, who set the system's strategic direction. Cerberus used Steward as a platform for a massive debt-driven acquisition strategy. In 2016, it sold off most of its hospitals’ property for $1.25 billion, leaving hospitals saddled with long-term inflated leases; paid itself almost $500 million in dividends; and used the rest for leveraged buyouts of 27 hospitals in 9 states in 3 years. The rapid, scattershot M&A strategy was designed to create a large corporation that could be sold off in five years for financial gain – not for health care integration. Its debt load exploded, and by 2019, its financials were deeply in the red. Its Massachusetts hospitals were the worst financial performers of any system in the state. Cerberus exited Steward in 2020 in a deal that left its physicians, the new owners, holding the debt.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

Finance courses are major offerings in UK business schools, at various levels. Seldom do these courses move beyond theoretical modeling and textbook approaches. This is corroborated by the paltry literature on challenge-based learning (CBL) in the finance arena.

In this chapter, we describe the experience of implementing an investment fund designed by experienced members of staff and set up and run by students in one of the UK business schools in 2018. The seed capital of the Fund was donated by a variety of sources and has enabled students to use this as a jump start for their investment skills. The ethos of the Fund is not to teach students just how to invest but to put students in a real-life investment setting where they deal with the running of day-to-day activities of managing investments through a practical framework. In doing so they discover, adapt, and apply theoretical models to funds while preparing performance reports. Students have been successful in getting jobs by demonstrating their involvement, and the Fund has put them in touch with investment banks and future employers. The functioning of the Fund is analyzed in this chapter.

The chapter suggests the practical steps involved in setting up such a schema of CBL, which might aid other higher education institutions and promote entrepreneurial, creative, and team building activity.

This paper aims, first, to examine artificial intelligence (AI) vs human delivery of financial advice; second, to examine the serial mediating roles of emotion and trust between AI use in the financial service industry and their impact upon marketing outcomes including word of mouth (WOM) and brand attitude; and third, to examine how political ideology moderates' consumers' reactions to AI financial service delivery.

A review of the extant literature is conducted, yielding seven hypotheses underpinned by affect-as-information theory. The hypotheses are tested via three online scenario-based experiments (n = 801) using Process Macro.

The results of the three experiments reveal consumers experience lower levels of positive emotions, specifically, affection, when financial advice is provided by AI in comparison to human employees. Secondly, across the three experiments, conservative consumers are shown to perceive somewhat similar levels of affection in financial advice provided by AI and human employees. Whereas liberal consumers perceive significantly lower levels of affection when serviced by AI in comparison to conservatives and human employee financial advice. Thirdly, results reveal affection and trust to be serial mediators which explain consumers' WOM and brand attitudes when financial services are provided by AI. Fourthly, the investment type plays an important role in consumers’ reactions to the use of AI.

To the best of the authors’ knowledge, this research is one of the first to study political ideology as a potential moderator of consumers’ responses to AI in financial services, providing novel contributions to the literature. It further contributes unique insights by examining emotional responses to AI and human financial advice for different amounts and types of investments using a comprehensive approach of examining both valence and discrete emotions to identify affection as a key explanatory emotion. The study further sheds insights relating to how emotions (affection) and trust mediate the relationship between AI and WOM, and brand attitudes, demonstrating an affect-attitude psychological sequence that explains consumers’ reactions to AI in financial services.

Downloading and uploading offer labour‐saving advantages and are now accepted as useful options in online searching. All aspects are here considered, from recent technical advances, applications and legal attitudes. There is also a review of current software for downloading. Recent developments mean a trend to higher internal memory and storage capacity, and greater transmission speeds. Packages now offer access to more than one host, give maximum assistance to the user without being menu‐driven and incorporate the latest developments in artificial intelligence. Disadvantages are in the length of time involved in the process and the fact that the legal issue of copyright has not yet been finalised. Database producers have turned to licensing under contract law, but there is still need to rely on user ethics, and the need for a standard permissions form is highlighted.