Exploring determinants of pre-training motivation and training effectiveness: a temporal investigation

Investigating training effectiveness of public and private banks employees in this digital age: an empirical study

Abstract: PurposeThe purpose of this study is to examine the pre-training and post-training variables influencing employee training effectiveness in the banking industry in this era of the digital age.Design/methodology/approachThis study adopted a cross-sectional research design and a structured questionnaire to survey the participants (i.e., bank employees) (n = 702) for data collection. The data gathered from the surveyed respondents were analyzed using the Partial Least Square to Structural Equation Modeling (PLS-SEM) approach to test the proposed hypotheses.FindingsThe research findings suggest a significant influence of pre-training (i.e., training environment, trainer quality) and post-training (i.e., trainee motivation, trainee self-efficacy, and authentic leadership practices) factors towards the bank's staff training effectiveness in this era of digital age.Originality/valueThe research is one of the pioneer attempts on training effectiveness that significantly open opportunity for financial institutions such as banks to meet the challenge of the fourth industrial revolution from a developing country perspective. The current study also contributes to the extension of the theoretical and managerial doctrine in terms of the relationship among the pre-and post-training factors to enhance training effectiveness under the scope of the financial sector's employees to manage human resources and their development in the digital age.

Sources of Method Bias in Social Science Research and Recommendations on How to Control It

Abstract: Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms “method” and “method bias” and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.

Building a Practically Useful Theory of Goal Setting and Task Motivation

Abstract: University of TorontoThe authors summarize 35 years of empirical research ongoal-setting theory. They describe the core findings of thetheory, the mechanisms by which goals operate, modera-tors of goal effects, the relation of goals and satisfaction,and the role of goals as mediators of incentives. Theexternal validity and practical significance of goal-settingtheory are explained, and new directions in goal-settingresearch are discussed. The relationships of goal setting toother theories are described as are the theory’s limitations.

Self‐determination theory and work motivation

Abstract: Cognitive evaluation theory, which explains the effects of extrinsic motivators on intrinsic motivation, received some initial attention in the organizational literature. However, the simple dichotomy between intrinsic and extrinsic motivation made the theory difficult to apply to work settings. Differentiating extrinsic motivation into types that differ in their degree of autonomy led to self-determination theory, which has received widespread attention in the education, health care, and sport domains. This article describes self-determination theory as a theory of work motivation and shows its relevance to theories of organizational behavior. Copyright © 2005 John Wiley & Sons, Ltd.

In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings

Abstract: Goodness-of-fit (GOF) indexes provide "rules of thumb"—recommended cutoff values for assessing fit in structural equation modeling. Hu and Bentler (1999) proposed a more rigorous approach to evaluating decision rules based on GOF indexes and, on this basis, proposed new and more stringent cutoff values for many indexes. This article discusses potential problems underlying the hypothesis-testing rationale of their research, which is more appropriate to testing statistical significance than evaluating GOF. Many of their misspecified models resulted in a fit that should have been deemed acceptable according to even their new, more demanding criteria. Hence, rejection of these acceptable-misspecified models should have constituted a Type 1 error (incorrect rejection of an "acceptable" model), leading to the seemingly paradoxical results whereby the probability of correctly rejecting misspecified models decreased substantially with increasing N. In contrast to the application of cutoff values to evaluate each ...

An assessment of the use of partial least squares structural equation modeling in marketing research

Abstract: Most methodological fields undertake regular critical reflections to ensure rigorous research and publication practices, and, consequently, acceptance in their domain. Interestingly, relatively little attention has been paid to assessing the use of partial least squares structural equation modeling (PLS-SEM) in marketing research—despite its increasing popularity in recent years. To fill this gap, we conducted an extensive search in the 30 top ranked marketing journals that allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010). A critical analysis of these articles addresses, amongst others, the following key methodological issues: reasons for using PLS-SEM, data and model characteristics, outer and inner model evaluations, and reporting. We also give an overview of the interdependencies between researchers’ choices, identify potential problem areas, and discuss their implications. On the basis of our findings, we provide comprehensive guidelines to aid researchers in avoiding common pitfalls in PLS-SEM use. This study is important for researchers and practitioners, as PLS-SEM requires several critical choices that, if not made correctly, can lead to improper findings, interpretations, and conclusions.