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The study examines how two types of trust – institutional and system trust – predict online banking intentions (OBI) as a function of generational cohort membership.

The study uses a cross-sectional survey of 559 U.S. Amazon Mechanical Turk (MTurk) members using quota sampling from three generational groups: SGI (born before 1946), older boomer (born 1946–1954), and millennial (born 1977–1992).

Results showed generational cohort differences in system and institutional trust as well as OBI. Serial mediation model results showed the model where institutional trust precedes system trust best explains the relationship between generational cohort membership and OBI.

While diverse, the sample comprised of MTurk workers and relied on self-report measures of behavioral intentions, thus limiting the generalizability of our findings.

This study introduces two levels of e-trust into the technology acceptance literature and provides a guideline for financial institutions and system designers to understand the role of trust in driving online service adoption and use for different generations.

This study explores generational differences in technology use with special focus on older adults, which is yet to be fully explored in the literature. This study differentiates between two levels of e-trust and explores the order in which both trust types mediate the relationship between generational cohort membership and OBI.

The purpose of this paper is to investigate the relations between people development management (PDM) as independent variable and knowledge management (KM) as dependent variable, in some Iranian healthcare centers. Design/methodology/approach – Applying the structural equation model (SEM) approach. Investigating causal relations of the variables through Lisrel software. Findings – Findings show that in the researched organizations there is a significant positive relation between PDM and its components, and KM. PDM have direct significant effect (0.85) on KM. The relation between the factor titled as “learning needs analysis and induction”, and KM is fairly more important than the other factors. Research limitations/implications – More research needs to be done in the same areas to judge about the effect of human assets strategies on KM. In case of the surveyed organization, it seems there is a vital need to review the PDM and KM strategies and develop some procedures to improve and keep the business up. Practical implications – Although the proposed model has proved no causal relation between PDM components and KM, except in the case of “learning needs analysis and induction”, it does not mean that no correction action is needed in other dimensions. In other words, it is necessary to expand a well‐developed people development management project to meet a successful knowledge management. Originality/value – Our conceptual model of research has two dimensions. In one side we chose Newman's model of knowledge management, On the other side we consider a comprehensive pattern of people development management, named People Developer Standard. Through this model an appropriate framework to manage and develop the human assets and a series of developer activities will be formed to achieve people excellence.

Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP) by exploring the mediating effects of knowledge development (KD) in terms of knowledge acquisition, information distribution, shared meaning and achieved memory.

Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling was used to test the research hypotheses.

It was found that all the dimensions of KD were positively related to BDAC and SSCP. Although no direct association was established between BDAC and SSCP, the empirical findings indicated that all the dimensions of KD fully mediated the relationship between BDAC and SSCP. This highlights that organizations need to harness KD because developing BDAC alone may not be sufficient.

No previous research has explored how KD dimensions such as knowledge acquisition, information distribution, shared meaning and achieved memory mediate the relationship between BDAC and SSCP. This paper addresses this gap in the literature and contributes to the existing debate to better understand the conditions in which BDAC affects SSCP. Pointers for future research are also identified.