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Record W2209825937

Developing Finance Leaders

2015· article· en· W2209825937 on OpenAlexaboutno aff
Jack Hagel

Bibliographic record

VenueJournal of accountancy online/Journal of accountancy · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsnot available
Fundersnot available
KeywordsPublic relationsAction (physics)Action planBusinessManagementMarketingPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Veronica McCann, CGMA, has worked in Singapore for 23 years, formerly as a division CFO at the Canadian Imperial Bank of Commerce (CIBC) and Commerzbank. For several of those years, she focused on making sure the next leaders were ready to take her place. At CIBC, she began developing a replacement who grew into the role over a span of four years and has since continued to rise. At Commerzbank, the transition took place over nine months. These successful transitions illustrate how McCann values the use of deputies up and down the chain of command. Here are five tips from McCann on developing the next generation of leaders: Communicate the strategy to your employees. Let your team know the strategy and reinforce that strategy to ensure they'll make better decisions as managers. Often in times of dramatic change, management can overlook communication and focus on action. Not everyone can follow the action, and they can get disillusioned or frustrated, McCann said. Communication makes the staff believe they have a say in the strategy or an opportunity to voice concerns or fears. [ILLUSTRATION OMITTED] People feel more comfortable working in a company when they feel as informed about everything as they can be, she said. So they know what the long-term strategy is, they have a good idea of what the immediate future plan is for the business, and therefore they can help steer it towards accomplishing that and achieving Encourage staff to develop relationships with other divisions and regions. One way for future leaders to develop those relationships is to send them out of the home office. In addition to empowering staff to learn how to do things differently, exposure to other areas of the business or other regions gives staff a better understanding of the organization. An employee on secondment in another country or continent can pass along best practices but also bring back process efficiencies. The leader who has seen and understands, for example, that the issues facing the organization in Frankfurt are different from the issues faced in Asia is far more valuable that the aspiring manager with experience on just one continent. you just sit in your hide box and you don't really see anything else that's going on around you, then you're just going to end up doing the same old thing day in and day out, McCann said. Have a 360 review and learn from it. McCann has learned plenty from her 360 reviews, which encompass feedback from supervisors, peers, and direct reports. She encourages future leaders to take part in such reviews, as long as the circle of respondents is kept small and the questions are relevant to the individual's role. Such reviews can help identify a weakness that can be addressed through coaching or outside training. For example, an employee might have exhibited knowledge and the ability to provide analysis in small meetings mainly among peers. If that same employee has a harder time conveying messages to larger meetings with senior management--because of nerves, speaking style, etc.--the company could invest in coaching from an outside firm to get the employee more comfortable in that type of setting. Make sure you have a deputy and that your deputy wants a top job. McCann made it clear to the managers she supervised: You must have someone who can take over your job in your absence. The first step is finding someone who is capable--but also ambitious. There's a difference between a worker who wants a job and one who wants a leadership role, so managers should have those conversations with staff. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.007
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.296
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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