scholarly journals People Analytics

Management ◽  
2018 ◽  
Author(s):  
David E. Caughlin

People analytics refers to the systematic and scientific process of applying quantitative or qualitative data analysis methods to derive insights that shape and inform employee-related business decisions and performance. More specifically, people analytics can be described as the process of collecting, analyzing, and reporting people-related data for the purpose of improving decision making, achieving strategic objectives, and sustaining a competitive advantage. In other words, people analytics involves scientific organizational research. As a field, people analytics has emerged as an extension of traditional human resources (HR) metrics and reporting, such as annualized turnover rate and cost per hire. Further, as an interdisciplinary field, people analytics integrates decades of science and practice in the areas of industrial and organizational psychology, organizational behavior, human resource management, statistics, mathematics, information systems and management, data science, finance, law, and ethics. Other related terms include HR analytics, human capital analytics, workforce analytics, and talent analytics. A major emphasis of people analytics is on making more effective data-driven HR decisions to realize organizational strategic objectives and to achieve a competitive advantage. Although the concepts and practices underlying people analytics are not entirely new, recent advances in computing power and information systems have brought people analytics to a wider audience via more affordable information system and enterprise resource planning platforms, and more powerful mathematical and statistical programs. Moreover, the growing scholarly and business interest in people analytics is based, in part, on the emergence of HR as a strategic business partner in organizations and the growing emphasis placed on making data-driven decisions in HR. Finally, people analytics can be differentiated into three levels of increasing complexity and organizational value: (a) descriptive analytics describe what has already happened in the organization, (b) predictive analytics predict what will or could happen in the organization, and (c) prescriptive analytics take data-analytic findings and use them to improve decisions and to make specific actions.

2012 ◽  
Vol 50 (No. 8) ◽  
pp. 365-368 ◽  
Author(s):  
M. Kučera ◽  
A. Látečková ◽  
P. Szovics

A prosperous company with a goal to maintain competitiveness in a strong international environment should eliminate obsolete management methods and innovate the information system used in the company with the application of effective economic software. This paper deals with the current situation of economic software or Enterprise Resource Planning (ERP) in companies and opportunities and advantages of using software in the area of cost management. Economic gains in practice are also discussed in this contribution. 


2021 ◽  
Vol 11 (15) ◽  
pp. 6792
Author(s):  
Alessio Faccia ◽  
Pythagoras Petratos

Accounting information systems (AISs), the core module of any enterprise resource planning (ERP) system, are usually designed as centralised systems. Nowadays, the continuous development and applications of blockchain, or more broadly—distributed ledger technology (DLT), can change the architecture, overcome and improve some limitations of centralised systems, most notably security and privacy. An increasing number of authors are suggesting the application of blockchain technologies in management, accounting and ERPs. This paper aims to examine the emerging literature on this field, and an immediate result is that blockchain applications can have significant benefits. The paper’s innovative contribution and considerable objective are to examine if blockchain can be successfully integrated with AIS and ERPs. We find that blockchain can facilitate integration at multiple levels and better serve various purposes as auditing compliance. To demonstrate that, we analyse e-procurement systems and operations using case study research methodology. The findings suggest that DLT, decentralised finance (DeFI), and financial technology (FinTech) applications can facilitate integrating AISs and ERP systems and yield significant benefits for efficiency, productivity and security.


2018 ◽  
Vol 14 (4) ◽  
pp. 89-107
Author(s):  
Ashraf Ahmed Fadelelmoula

This article empirically assesses the impacts of the quality dimensions of the enterprise resource planning (ERP) system on the realization of the fundamental business objectives of information systems and perceived usefulness. To assess these impacts, a theoretical model was developed based on the theory of information systems success. The model comprises the quality dimensions of the ERP system and their hypothesized relationships with the realization of the fundamental business objectives and perceived usefulness. To test the postulated relationships, a questionnaire was constructed based on a thorough survey of the information systems literature. The questionnaire was distributed to a sample of 300 end users of the ERP system in a public university in the Kingdom of Saudi Arabia (KSA). The collected data were tested using regression analysis. The findings reveal that information quality has the highest effect on the realization of business objectives, while service quality has the highest effect on the perceived usefulness. These findings indicate that the crucial aspects of both information quality and service quality should receive greater management attention in order to enhance the individual and organizational impacts of the ERP systems.


2017 ◽  
Vol 19 (1/2) ◽  
pp. 151-164 ◽  
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego

Purpose Top management support (TMS) is considered as a critical factor for the success of information systems (ISs) projects. The literature shows that TMS has a positive impact on achieving success in ISs’ projects in different aspects. However, the enabling factors for TMS in complex ISs’ projects have barely been tested, something which this study aims to rectify. Design/methodology/approach This study has designed a research model based on structural equation modelling (SEM) with the intention of analysing the perception of IS end users regarding the effect on TMS of the following factors: technological complexity and training and organizational communication. The application of the study has focused on an enterprise resource planning–open source software (ERP-OSS) environment. Findings The findings show how end users have a perception that organizational communication and training have a positive relation with TMS. Based on these findings, the authors have suggested several practical considerations. Research limitations/implications There are two limitations to this study. First, this study is based on the perception of complex IS/IT users. It would be interesting to add the perception of top managers to provide more solid findings. The second limitation is that this study has not suggested any additional potential factors which could affect TMS. Practical implications First, this article provides a study of the key role of TMS when an organization needs to implement a complex IS/IT. Second, organizations must develop mechanisms for increasing training and communication relating to the new complex IS/IT projects. Finally, the complexity of an IS/IT project does not constitute an enabling factor incentivizing TMS and should therefore not be a determining factor in increasing TMS within an organization selecting an IS/IT. Originality/value This study contributes to advancing theory in the field of TMS in information systems projects.


2020 ◽  
Vol 16 (2) ◽  
pp. 54-72
Author(s):  
Yu Zhao ◽  
Kakoli Bandyopadhyay ◽  
Cynthia Barnes

Enterprise resource planning (ERP) systems allow businesses to achieve high performance through distinctive capabilities and are one of the fastest growing areas within information systems. Many universities have adopted ERP in their management information systems (MIS) curriculum to increase the marketability of their students. Drawing on the IS success model and several constructive learning theories, this study develops a model that is predictive of students' continued ERP software use intention, satisfaction, and perceived learning outcomes. SAP is the ERP system used in this study. Business students at four mid-sized state universities in the United States were surveyed. The universities are members of the SAP University Alliance. There were 373 usable responses. Partial least squares structural equation modeling (PLS-SEM) was used to empirically test the model. The findings indicate that student motivation, perceived instructor support, and ERP system quality are strong predictors of student satisfaction, and learning outcomes. Student motivation and ERP system quality, but not perceived instructor support, are also significant predictors of continued use intention.


Author(s):  
Vu Quoc Thong

Identifying factors defining the effectiveness of integrated AIS in the Enterprise Resource Planning (ERP) environment is really a challenging task. In our research, the effectiveness of integrated AIS in ERP is presented in the form of a Balanced Scorecard (BSC) model. This study analyzes data collected from 178 Vietnamese garment companies with AIS in an ERP environment. Then, Cronbach’s Alpha test and exploratory factor analysis (EFA) are conducted to assess the reliability of variables. The result identifies 28 variables from Vietnamese garment companies’ managers view grouped into 4-dimensional constructs of the BSC model that define the effectiveness of integrated AIS in an ERP environment. The conclusion on garment companies’ AIS evaluation factors paves the way for future research on other Vietnamese industries’ AIS evaluation in an ERP environment.


2013 ◽  
pp. 1035-1052 ◽  
Author(s):  
António Trigo ◽  
João Varajão ◽  
João Barroso ◽  
Pedro Soto-Acosta ◽  
Francisco J. Molina-Castillo ◽  
...  

Information Systems (IS) and Technologies assume a wide variety of roles within companies, ranging from operational to strategic support of the company. This fact puts pressure on managers, who are required to manage these investments properly. This chapter presents a study conducted with several Chief Information Officers from large Iberian companies with the purpose of identifying and characterizing the roles played by IS and the motivations currently behind their adoption. The findings of this study reveal the reasons why IS and technologies are being adopted by Iberian companies are evolving and that, while the adoption of certain types of systems such as Enterprise Resource Planning systems is now consolidated, the adoption of other systems like Business Intelligence is expected to increase significantly in the near future.


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