What is HR analysis?

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HR analytics can be defined as: an HR practice, enabled by information technology, that uses descriptive, visual and statistical analyses of data related to HR processes, human capital, organizational performance and external economic benchmarks, to establish the impact on the business and enable data-driven decision-making.

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07:26
Marketing seems to be slow to fully recognize its role, place and responsibility in changes in climate, biodiversity and resources. This reluctance can be attributed, at least in part, to the implicit assumptions of sustainable marketing, which tend to minimize the scale of the paradigm shifts needed to remain hopeful of a habitable planet. Consequently, the dominant approaches to “sustainable marketing” find it difficult to question the fundamental principles and ideological foundations of the market system. This is why we are calling for radical changes in marketing research in order to envisage a truly sustainable future. We are therefore formulating a program based on five proposals with the aim of inviting profound transformations in the discipline.
ARNOULD Eric - FNEGE |
04:05
We experimentally investigate whether and how the potential presence of algorithmic trading (AT) in human-only asset markets can influence humans’ price forecasts, trading activities and price dynamics. Two trading strategies commonly employed by high-frequency traders, spoofing (SP) - associated with market manipulation - and market making (MM) - seen as liquidity provision – are considered.
JACOB-LEAL Sandrine - FNEGE |
03:41
Offsetting means offsetting assets and liabilities and only reporting the net values in the financial statements. Whether offsetting should be allowed remains the largest difference between US and international accounting standards. Banning offsetting will have a significant impact on the financial statements, especially the banks. Hence, US banks stay firmly opposed to restricting offsetting in accounting due to great negative impact on the banks capital ratios.
ZHANG John - FNEGE |
03:16
This study draws on the theory of cognitive dissonance to better understand how individuals make moral sense of responsible business behavior in a societal paradox characterized by interdependent and contradictory demands between important social objectives. Using a qualitative survey open to the U.S. public at the the start of the pandemic, the study proposes a typology called the 4R Model of Moral Sensemaking of Competing Social Problems. The 4R Model offers insights for businesses on how their responses to competing social problems may be perceived as either responsible and/or irresponsible. The study then expands the paradox and micro-CSR literatures.
REED Heidi - FNEGE |

Vidéos de la même thématique

More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related to perceptions of organizational attractiveness, both directly and indirectly via perceptions of innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content, view such organizations as both more innovative and attractive.
FIGUEROA-ARMIJOS Maria - FNEGE |
The aim of this paper is to explore how a number of processes combined to create the micro-level strategies and procedures that resulted in the deadliest and most tragic forest fire in Portuguese history.
ABRANTES Antonio - TBS Education |
Artificial intelligence is already transforming lives and organizations. It brings a huge potential, for example, to achieve hyper-performance. Which is not about adding more trainings. But rather finding and removing obstacles from human minds. And artificial intelligence can facilitate that efficiently. It can help us to learn more about our own intelligence. Thus, giving us a unique chance to finally re-unite both intelligences.
STIBE Agnis - EM Normandie |
It is a state of performance when all unnecessary human thought is minimized or completely suppressed. Such as bad judgments, distracting thoughts, subjective biases, bad decisions, etc. For example, employees may be reluctant to accept artificial intelligence. That means there’s something in their mind that stops them. That something is the root cause.
STIBE Agnis - EM Normandie |

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