Perceived learning opportunities, behavioral intentions and employee retention in technology organizations

Steil, Andrea Valéria; Cuffa, Denise de; Iwaya, Gabriel Horn; Pacheco, Roberto Carlos dos Santos

doi:10.1108/jwl-04-2019-0045

Cited by 24 publications

(15 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Particularly, as the implementation of new technologies and especially newer IT systems within companies is not often successful at a first attempt (Davis, 1989), training on IT skills is of capital and increasing importance. Personnel training has always been a fundamental tool for improving employees' competencies and fostering their performance (Steil et al, 2020). More recently, several studies have focused their attention on the role of training for the implementation and use of technology, but still not enough to determine the effect of training opportunities on perceived ease of use and behavioural intentions (Escobar-Rodriguez and Monge-Lozano, 2012).…”

Section: Introductionmentioning

confidence: 99%

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

Presti

Rosa

Viceconte³

2021

JWL

View full text Add to dashboard Cite

Purpose Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator. Design/methodology/approach A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping. Findings The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed. Originality/value Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.

show abstract

Section: Introductionmentioning

confidence: 99%

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

Presti

Rosa

Viceconte³

2021

JWL

View full text Add to dashboard Cite

show abstract

“…The inability of the organization to become a technology organization is mainly due to a lack of support from top management and inappropriate organizational structure; as a result, creating and sharing knowledge are not efficient [12]. The perceptions of learning and behavioral intentions are vital to operation in the workplace because they support a technological organization to identify opportunities and solve complex issues [13]. An empirical study of the motivation to evolve into a technology organization significantly depends on intra-organizational motivation to increase operational efficiency and competitive advantage.…”

Section: -1-technological Organizationmentioning

confidence: 99%

The Effect of Technological Organization on Cost Innovation and Value Creation

et al. 2022

View full text Add to dashboard Cite

This research aims to study the effects of technological organization, management of cost innovation, and value creation. The population in this study was the canned and instant food export companies, which are crucial industries that earn incomes for Thailand. The quantitative research method was carried out using questionnaires sent to all companies (census) with the manufacturing managers as respondents. The survey revealed that these companies had a high level of technological organization, value creation, and cost innovation, except for reducing unnecessary functions at a moderate level because the products need to maintain customer demand; therefore, unnecessary adjustments may not be made. PLS-SEM assesses the reflective and structural models to test the research hypotheses. The findings revealed significant influences among three pairs of constructs: (1) technological organization had a positive effect on cost innovation, (2) cost innovation had a positive effect on value creation, and (3) technological organization had a positive effect on value creation. Thus, this research provides empirical information for the influences among the variables and presents the significance of being a technological organization and the inclusion of cost innovation management, to maintain their business during the COVID-19 pandemic and improve the organizational potential for preparation in future circumstances. Doi: 10.28991/ESJ-2022-06-02-09 Full Text: PDF

show abstract

“…Although recruiting capable individuals will still be critical, employee engagement is the most critical characteristic of a good human resources professional. (Steil et al, 2020) classified job productivity benefits as intrinsic and extrinsic. They note that intrinsic incentives are nonmaterial in nature, such as career advancement for employees, while extrinsic rewards are material in nature, such as bonuses or other cash compensation.…”

Section: Employee Retentionmentioning

confidence: 99%

A Conceptual Review of the Talent Management and Employee Retention in Banking Industry

2021

IJBMF

View full text Add to dashboard Cite

The value of talent workers, talent management and talent retention has increased in the increasing economic circumstances of the world. Talented and devoted employees are often an integral part of every company. Smart, sophisticated, digitally literate, internationally astute and operationally agile businessmen are considered talented individuals. Talent management means that organisations have access to strategic planning with the best candidates with relevant expertise placed in the right place. Therefore, the aim of this study is to develop a conceptual model that explain the relationship between talent management and employee retention. The study will be used to accumulate empirical literature by the name of talent management and talent retention in different online database sources such as Google Scholars, Springer Link, Wiley, Science Direct, JSTOR, Emerald full text, Scopus, and EBSCO HOST, etc. The review findings of the study shown that any success or loss of a company mostly depends on the activities and survival of talented employees. The study also found that the retention of employees is one of the challenges that many public and private organisations face, has become an even greater challenge facing human resources professionals because there is a luxury of choice for talented candidates in the global job skills market. At the same time, there is a lack of research emphasizing only on banking industry. The proposed conceptual model depicts the significant effect of working environment and other dimensions of talent management and its effect on employee retention in banking industry.

show abstract

Perceived learning opportunities, behavioral intentions and employee retention in technology organizations

Cited by 24 publications

References 33 publications

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

The Effect of Technological Organization on Cost Innovation and Value Creation

A Conceptual Review of the Talent Management and Employee Retention in Banking Industry

Contact Info

Product

Resources

About