Information literacy and learners’ satisfaction

Abstract

Purpose This paper aims to empirically examine the relationships among information literacy (IL), social networking technology usage (SNTU) and learners’ satisfaction (LS) among university students. The research also aims to determine whether SNTU has a mediating role in the relationship between IL and LS. Design/methodology/approach Based on the proposed framework, a self-administered questionnaire was adopted to gather data from students at Komar University of Science and Technology. Of a total of 520 questionnaires, 335 were returned and subsequently used for statistical analysis. The collected data were analysed using Smart-PLS software version 3.2.0. Findings The results of the present research indicate that both IL and SNTU have significant effects on LS. Furthermore, the results suggest that SNTU has a mediating role in the relationship between IL and LS and that IL has the ability to strengthen LS via SNTU. Originality/value This study offers significant insights that could guide educational institutions in their understanding of LS and the key factors that may affect it. Previous studies have not prioritized the impact of IL and SNTU on LS, and thus the results of this study can serve as a basis for enhancing LS in other educational sectors.

Exploring the profile of green consumers: Role of demographics and factors influencing green purchase behavior

“…This research also advanced the literature by exploring nine factors underlying green purchase behavior, namely, SI, QC, PH&EB, EC, CRS, PAGP, PC, PQI, and SO using EFA. The findings of the study are congruent with the previous studies suggesting that social influence (Asl & Khoddami, 2023; Khare & Kautish, 2021b), quality consciousness (Khare & Kautish, 2021a; Lago et al, 2020), perceived benefits (Mehta & Chahal, 2021), ecological concern (Chaudhary & Bisai, 2018; Jaiswal & Kant, 2018), consciousness toward resource‐saving (Joshi & Rahman, 2016; Kautish et al, 2019), perceived availability (Cerri et al, 2018; Sharma & Lal, 2020), price concerns (Niedermeier et al, 2021), perceived quality of information (Aljanabi & AL‐Hadban, 2023), and style orientation (Saleki et al, 2019) encourage green purchase behavior. The study's findings are valuable to marketers, scholars, and academicians in the field as they can obtain a better understanding of the various factors that affect green purchasing decisions.…”

“…There is significant evidence that the perceived quality of information improves consumers' understanding of green products and influences their purchase behavior (Nekmahmud et al, 2022). Consumers tend to alter their consumption decisions if they view the information as trustworthy, logical, and dependable (Aljanabi & AL‐Hadban, 2023). The availability of accurate information assists consumers in recognizing eco‐friendly products and distinguishing them from those that are not, whereas insufficient information may impede consumers' ability to identify green products (Pickett‐Baker & Ozaki, 2008) and act as a barrier to the adoption of green purchase behavior (Testa et al, 2020).…”

Introversion-extraversion and online course satisfaction

“…(2019) found that having an official Facebook group in a face-to-face academic course was associated with higher levels of course satisfaction through the mediating effect of social connectedness. Aljanabi and Al-Hadban (2018) found that students’ use of online social networks was associated with increased learner satisfaction from their studies. An additional study found that receiving peer feedback from collaborative blogging incorporated in a face-to-face course was associated with increased course satisfaction (Zhang et al ., 2014).…”

An Empirical Investigation of E-Banking in the Kurdistan Region of Iraq: The Moderating Effect of Attitude

“…Individual Factors are more concentrated when it is second-order and conceptually is more reliable, besides second-order components reduce the number of paths in the model in which there is only one path from the Independent Variable to the Dependent Variable . To empirically test the model, the researcher applied a partial least square structural equation modeling (PLS-SEM) approach by SmartPLS (V. 3.2.8) (Aljanabi, 2017;Aljanabi et al, 2018Aljanabi et al, , 2019. Figure 1 shows the framework.…”