Search results

Technology-based collaborative learning (TBCL) is the manner in which students can use technological tools and digital platforms to share knowledge and learn collaboratively. It can help increase students’ participation, motivation and achievement due to the stimulating teaching environment. The study intends to examine the effect of TBCL on students’ competency-based education (CBE).

A questionnaire as quantitative data gathering tool is employed in this correlational study. This study used purposive sampling which is done on undergraduate university students (N = 187) in order to accomplish the goal. The data are analyzed using the SPSS software (Statistical Package for Social Sciences) version 27.0.

The findings of this study indicate the strong positive association between the TBCL and students’ CBE with the correlation coefficient value 0.993. Hence, the null hypothesis is rejected, and alternative hypothesis of this study is accepted.

The findings will provide valuable insights that will help educators, policymakers, industry partners and researchers better prepare students for the demands of the digital age and improve the quality of education by identifying successful strategies for integrating technology into collaborative learning environments.

This study is unique because it synthesizes and analyzes previous research to look at the particular context of TBCL and how it affects students' CBE in higher education institution in Sindh that was not previously investigated.

This paper explores the implications of financial inclusion and financial development for the conduct of monetary policy in achieving price stability and economic growth in sub-Saharan Africa (SSA).

The paper employs the system-generalized methods of moment (GMM) estimation technique using panel data spanning 2004 to 2019 and sourced from Databases of (International Monetary Fund's) IMF's Financial Access Survey (FAS), IMF's International Financial Statistics (IFS), World Bank's Global Financial Development Database (GFDD) and World Bank's World Development Indicators (WDI).

The authors find that financial inclusion has a double-edge effect in SSA. That is, it increases economic growth and lowers inflation in SSA. Furthermore, the results show that a simultaneous increase in financial inclusion and financial development have restrictive effects on economic growth. On the evidence provided, the authors conclude that financial inclusion is an important predictor of economic growth and the conduct of monetary policy in the sub-region.

This paper expands and contributes to the frontier of knowledge how financial inclusion is important for the conduct of monetary policy by monetary authorities in achieving its intended objectives in SSA. The paper highlights the need for ongoing enhancement of financial inclusion of many governments in the sub-region to achieving high economic growth and price stability. Thus, there is the need for policy makers to ensure that a more stringent, effective and appropriate policies and measures are put in place to enhance financial inclusion while taking into consideration the extent of financial development in SSA.

This article has two main objectives: first, to analyze a novice’s researcher’s journey in overcoming the challenges of one of the most persistent obstacles in qualitative research – gaining access through gatekeepers – to obtain a nuanced understanding of this phenomenon; and second, to emphasize the practical value of autoethnography in capturing both individual and social dimensions of this process, enabling researchers to reflect on their fieldwork experiences.

This paper employs an autoethnographic approach grounded in sensemaking and reflexivity, drawing on the personal life experiences of a researcher who collected data for his dissertation involving informal entrepreneurs (IEs).

This research reveals that gaining access is not a straightforward process but rather an ongoing effort in which rapport, trust and reciprocity – along with persistent negotiations and a bit of luck – contribute to its success. Additionally, the innovative autoethnographic approach helps to adopt new lenses and perspectives on the personal, interpersonal and contextual influences that motivate the actions of both the researcher and the gatekeeper.

This study is valuable for novice researchers and the research practice itself, as it uncovers hidden dynamics and risks associated with accessing hard-to-reach populations. It enriches the literature in organization and management studies by providing a unique framework for navigating this complex process. Furthermore, it highlights the applications, strengths and challenges of the autoethnographic method.

Amidst growing concerns about environmental sustainability, brands face the challenge of upholding authenticity in their green marketing efforts. While existing research primarily focuses on understanding and preventing greenwashing, there is a critical need to explore its consequences and mitigation strategies. This study aims to investigate the effects of greenwashing across varying levels of severity on consumer forgiveness and brand attitude, with growth beliefs and apology sincerity serving as moderators.

This study conducted a between-subjects online experiment in two phases: Phase 1 examined the effects of greenwashing severity on brand attitude, mediated by consumer forgiveness and moderated by their growth beliefs, whereas Phase 2 tested the moderating role of apology sincerity.

This study identifies different types of greenwashing and reveals that higher perceived severity of active greenwashing worsens brand attitude through reduced consumer forgiveness. However, consumers with stronger growth beliefs show greater forgiveness, moderating the negative impact of greenwashing severity. Crucially, a sincere apology effectively mitigates the detrimental effects of greenwashing severity on brand attitude.

This study offers actionable insights for brand managers, highlighting that fostering growth beliefs and offering sincere apologies can mitigate the negative impacts of greenwashing.

This study advances the greenwashing literature by highlighting the negative consequences of greenwashing on consumer forgiveness and brand attitude, and underscoring the role of growth beliefs and apology sincerity as effective mitigation strategies.

The experience of leaving the real world and entering a virtual service environment makes many individuals happy. This study heeds the call by multiple researchers to conceptualize, interpret and illustrate the impact of the perceived service experience in the metaverse in a holistic way. In particular, this study aims to understand how the consumption of experiences is perceived in a metaversal space.

The authors analyze mega virtual live events with famous artists broadcast in virtual worlds. The authors take a big data approach and include two studies to gain insight into the online public audience’s perceptions and experiences in the metaverse. In the first study, the authors analyze text from YouTube with Leximancer. In the second study, the authors go one step further to refine the conceptual model from Study 1. The authors scrutinize additional Facebook comments using seeded Latent Dirichlet Allocation (LDA).

The findings reveal that the meta service experience (MEX) encompasses four dimensions: immersion, metascape, immediacy and hedonism.

This research provides important guidance not only for consumer behavior scholars but also for service marketers and event planners. The study proposes research opportunities to advance service experience research in the metaverse.

We explored whether (1) an informational intervention improves ratings of individuals on the autism spectrum (IotAS) in a job interview by curbing salience bias and whether expert-based influence amplifies this effect (Study 1); (2) the effect of disclosure of autism on ratings depends on a candidate’s presentation as IotAS or neurotypical (Studies 1 and 2) and (3) social desirability bias affects ratings of and emotional responses to disclosers (Study 2).

In two studies, participants, randomly assigned to experimental conditions, watched a mock job interview of a candidate presenting as an IotAS or neurotypical and reported their perception of his job suitability and selection decision. Study 2 additionally measured participants’ traits associated with social desirability bias, self-reported emotions and involuntary emotions gauged via face-reading software.

In Study 1, the informational intervention improved ratings of the IotAS-presenting candidate; delivery by an expert made no difference. Disclosure increased ratings of both the IotAS-presenting and neurotypical-presenting candidates, especially the former, and information mattered more in the absence of disclosure. In Study 2, disclosure improved ratings of the IotAS-presenting candidate only; no evidence of social desirability bias emerged.

We explain that an informational intervention works by attenuating salience bias, focusing raters on IotAS' qualifications rather than on their unexpected behavior. We also show that disclosure is less helpful for IotAS who behave more neuronormatively and social desirability bias affects neither ratings of nor emotional responses to IotAS-presenting job candidates.