Factors affecting employee performance: an empirical approach

AD Diamantidis, P Chatzoglou - International journal of productivity …, 2019 - emerald.com
Purpose Nowadays, the phenomenon of increased competition between firms and their
need to respond effectively to rapidly changing operational conditions, as well as to …

[PDF][PDF] The importance of training and development in employee performance and evaluation

J Rodriguez, K Walters - World wide journal of multidisciplinary …, 2017 - researchgate.net
Employee performance impacts the bottom line of an organization. For this reason, it is the
responsibility of organizational leaders to be aware of the importance of training and …

A systematic review of literature on Human capital investment and its significance for human resource development

L Arokiasamy, T Fujikawa, SK Piaralal… - International Journal of …, 2023 - Springer
With rising globalization and the overcrowding of the employment market as a result of the
recent crisis in numerous economies throughout the world, human capital is receiving more …

Big data investment, skills, and firm value

P Tambe - Management science, 2014 - pubsonline.informs.org
This paper analyzes how labor market factors have shaped early returns on big data
investment using a new data source—the LinkedIn skills database. The data source enables …

The impact of firms' social media initiatives on operational efficiency and innovativeness

HKS Lam, ACL Yeung, TCE Cheng - Journal of Operations Management, 2016 - Elsevier
Social media have been increasingly adopted for organizational purposes but their
operational implications are not well understood. Firms' social media initiatives might …

Data analytics, innovation, and firm productivity

L Wu, L Hitt, B Lou - Management Science, 2020 - pubsonline.informs.org
We examine the relationship between data analytics capabilities and innovation using
detailed firm-level data. To measure innovation, we first utilize a survey to capture two types …

Machine learning and human capital complementarities: Experimental evidence on bias mitigation

P Choudhury, E Starr, R Agarwal - Strategic Management …, 2020 - Wiley Online Library
Abstract Research Summary The use of machine learning (ML) for productivity in the
knowledge economy requires considerations of important biases that may arise from ML …

The power of prediction: predictive analytics, workplace complements, and business performance

E Brynjolfsson, W Jin, K McElheran - Business Economics, 2021 - Springer
Anecdotes abound suggesting that the use of predictive analytics boosts firm performance.
However, large-scale representative data on this phenomenon have been lacking. Working …

Innovation outcomes of digitally enabled collaborative problemistic search capability

PP Karhade, JQ Dong - MIS quarterly, 2021 - research.rug.nl
A firm's use of boundary-spanning information systems (BSIS) can be beneficial for
innovation by providing access to market-facing information. At the same time, BSIS use can …

Platform Sponsor Investments and User Contributions in Knowledge Communities

P Huang, A Tafti, S Mithas - MIS quarterly, 2018 - JSTOR
How should digital platforms engage with and invest in their online communities to shape
innovation and knowledge contributions from members in their platform ecosystems? This is …