METHODS AND APPARATUS HAVING APPLICABILITY TO SUCCESSION PLANNING
Techniques having applicability to succession planning may include providing an option, in a computer-implemented professional networking platform, for a first member of a professional community to designate a second member of the professional community as deserving of promotion. In response to the designation, a nomination may be received from the first member, via the computer-implemented professional networking platform, of a third member of the professional community as a potential successor for the second member. Further techniques may include receiving, from an employee, information about the employee's professional characteristics, and presenting the information to human resources (HR) personnel. One or more automated similarity algorithms may be applied to identify, based on the information about the employee's professional characteristics, information likely to be of interest to the employee, which may be provided to the employee in return for the information about the employee's professional characteristics.
1 . A method comprising:
receiving, from an employee, information about the employee's professional characteristics;
applying, using at least one processor, one or more automated similarity algorithms to identify information likely to be of interest to the employee, based on the information about the employee's professional characteristics;
providing to the employee the information likely to be of interest to the employee, in return for the information about the employee's professional characteristics; and
presenting the information about the employee's professional characteristics to human resources (HR) personnel.
2 . The method of claim 1 , wherein identifying information likely to be of interest to the employee comprises identifying one or more other employees having similar professional characteristics to the employee, and identifying one or more professional characteristics of at least one of the one or more other employees to recommend to the employee.
3 . The method of claim 2 , wherein identifying the one or more professional characteristics to recommend to the employee comprises identifying one or more professional characteristics designated by HR personnel as being valuable.
4 . The method of claim 1 , wherein the information about the employee's professional characteristics comprises information about the employee's skill set, and wherein identifying information likely to be of interest to the employee comprises identifying one or more additional skills likely to enhance the employee's skill set.
5 . The method of claim 4 , wherein providing the information likely to be of interest to the employee comprises recommending one or more training offerings available for at least one of the one or more additional skills.
6 . The method of claim 1 , wherein the information about the employee's professional characteristics comprises information about the employee's role models, and wherein providing the information likely to be of interest to the employee comprises recommending information in which at least one of the employee's role models has shown interest.
7 . The method of claim 1 , wherein providing the information likely to be of interest to the employee comprises recommending one or more other employees to the employee.
8 . At least one computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising:
receiving, from an employee, information about the employee's professional characteristics;
applying one or more automated similarity algorithms to identify information likely to be of interest to the employee, based on the information about the employee's professional characteristics;
providing to the employee the information likely to be of interest to the employee, in return for the information about the employee's professional characteristics; and
presenting the information about the employee's professional characteristics to human resources (HR) personnel.
9 . The at least one computer-readable storage medium of claim 8 , wherein identifying information likely to be of interest to the employee comprises identifying one or more other employees having similar professional characteristics to the employee, and identifying one or more professional characteristics of at least one of the one or more other employees to recommend to the employee.
10 . The at least one computer-readable storage medium of claim 9 , wherein identifying the one or more professional characteristics to recommend to the employee comprises identifying one or more professional characteristics designated by HR personnel as being valuable.
11 . The at least one computer-readable storage medium of claim 8 , wherein the information about the employee's professional characteristics comprises information about the employee's skill set, and wherein identifying information likely to be of interest to the employee comprises identifying one or more additional skills likely to enhance the employee's skill set.
12 . The at least one computer-readable storage medium of claim 11 , wherein providing the information likely to be of interest to the employee comprises recommending one or more training offerings available for at least one of the one or more additional skills.
13 . The at least one computer-readable storage medium of claim 8 , wherein the information about the employee's professional characteristics comprises information about the employee's role models, and wherein providing the information likely to be of interest to the employee comprises recommending information in which at least one of the employee's role models has shown interest.
14 . The at least one computer-readable storage medium of claim 8 , wherein providing the information likely to be of interest to the employee comprises recommending one or more other employees to the employee.
15 . Apparatus comprising:
at least one processor; and
at least one storage medium storing instructions that, when executed by the at least one processor, cause the at least one processor to:
receive, from an employee, information about the employee's professional characteristics;
apply one or more automated similarity algorithms to identify information likely to be of interest to the employee, based on the information about the employee's professional characteristics;
provide to the employee the information likely to be of interest to the employee, in return for the information about the employee's professional characteristics; and
present the information about the employee's professional characteristics to human resources (HR) personnel.
16 . The apparatus of claim 15 , wherein identifying information likely to be of interest to the employee comprises identifying one or more other employees having similar professional characteristics to the employee, and identifying one or more professional characteristics of at least one of the one or more other employees to recommend to the employee.
17 . The apparatus of claim 16 , wherein identifying the one or more professional characteristics to recommend to the employee comprises identifying one or more professional characteristics designated by HR personnel as being valuable.
18 . The apparatus of claim 15 , wherein the information about the employee's professional characteristics comprises information about the employee's skill set, and wherein identifying information likely to be of interest to the employee comprises identifying one or more additional skills likely to enhance the employee's skill set.
19 . The apparatus of claim 18 , wherein providing the information likely to be of interest to the employee comprises recommending one or more training offerings available for at least one of the one or more additional skills.
20 . The apparatus of claim 15 , wherein the information about the employee's professional characteristics comprises information about the employee's role models, and wherein providing the information likely to be of interest to the employee comprises recommending information in which at least one of the employee's role models has shown interest.