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This study aims to highlight the role of individual and instructional design factors on training transfer and explore and review focal training factors that influence the transfer of training.

A conceptual framework has been developed for this study to better present the prevalent factors that have been empirically validated.

The facets of transfer encompassed in this study have gathered enough evidence to demonstrate a positive association with the transfer. This review points out that all predictor variables (learner characteristics, instructional design and environmental factors) positively and significantly influence the transfer of training. A mix of variables is proposed, with further investigation recommended to develop a robust training transfer hypotheses.

This study contributes to the training transfer literature in three ways. First, the authors have shown the positive influence of pre-training factors on training transfer. This study is grounded in a robust theoretical framework, thus fulfilling the previous gaps. This conceptual study elaborates on the importance of factors to establish the training transfer hypothesis. Future studies should test the suggested framework and look for other things that could help learners be more effective and motivated so that training can be more effective and transferable.

This study has significant findings for organizations operating in the current business scenario to enhance learning transfer, where the transfer is very low and a significant cause of concern for every organization. By making management aware of the success factors of training transfer, they can ensure a better training transfer. In this study, the transfer design considerations are discussed in detail, and their practical consequences are provided for training transfer in general and training professionals in particular.

The training transfer literature showcases two significant gaps; first, it lacks appropriate characteristics, and second, there is variability in the results. This study bridges the gaps and attempts to advance our understanding of training transfer grounded in the theoretical framework by focusing on learner characteristics, instructional design and work environment in training transfer, which predictor variables can improve training transfer. This study also contributes to the current training transfer literature by proposing a combination of factors that provide a theoretical foundation for developing a solid training transfer theory.

This study aims to empirically develop a reliable and valid instrument measuring the online service quality in the context of the banking sector in India.

The methodological framework of this research comprises developing an instrument that is based on previous literature, qualitative and quantitative procedure. The study used the survey method and collected data via a well-structured questionnaire from a sample of active Internet banking users. The proposed instrument is identified by the data-reduction technique that is exploratory factor analysis (EFA), and validated through the confirmatory factor analysis (CFA).

The results confirmed that the digital banking service quality scale (DBSQual) contains 24 items in seven dimensions: (1) web architecture, (2) user friendliness, (3) efficiency of website, (4) reliability, (5) responsiveness, (6) security and (7) personalization. The relationship between digital banking service quality and e-customer satisfaction has also been found to be significant in this study.

The results of this study do not find general application for different banks operating in the same sector in India. More testing of DBSQual is required across various different contexts for validity augmentation. In addition, findings would be more reliable if the non-Indian context could be taken into consideration. Thus, such limitations open a window for future research.

This study is quite fruitful for the banking organizations in measuring their online services, and enables them to implement their marketing and operational strategies more effectively and efficiently.

The contribution of this study is the development and validation of a new instrument that is DBSQual that contains seven determinants of customers' e-service quality perception, emphasis on measuring online service quality in the Indian banking sector. These determinants will offer banks a promising starting idea for establishing an effective quality management for their online businesses. They will be able to increase the opportunities by tapping themselves at a competitive edge.

This study aims to investigate the influence of personality characteristics (risk-aversion and self-consciousness) on skepticism toward online services information (STOSI), consumer stress and health.

A between-subjects experiment (n = 228) was designed to compare effects based on third-party organization endorsement (TPO endorsed vs nonendorsed).

Results revealed that personality characteristics positively influenced STOSI, which in turn escalated consumer stress. Furthermore, consumer stress predicted detrimental effects on consumer health (increased blood pressure and heartbeat). Regarding TPO endorsements, both the risk-aversive and self-conscious consumers showed lesser STOSI when exposed to TPO-endorsed ads compared with nonendorsed ads.

This study is one of the first to examine the effects of consumer personality on consumer health through STOSI and consumer stress. In addition, the remedial roles of TPO in coping with STOSI and consumer stress also accumulate to the novelty of this study.

The purpose of this study is to provide the full-state mathematical model and devise a nonlinear controller for a balloon-supported unmanned aerial vehicle (BUAV).

Newtonian mechanics is used to establish the nonlinear mathematical model of the proposed vehicle assembly which incorporates the dynamics of both balloon and quadrotor UAV. A controllable form of the nine degrees of freedom model is derived. Backstepping control is designed for the proposed model and simulations are performed to assess the tracking performance of the proposed control.

The results show that the proposed methodology works well for smooth trajectories in presence of wind gusts. Moreover, the final mathematical model is affine and various nonlinear control techniques can be used in the future for improved system performance.

Multi-rotor unmanned aerial vehicles (MUAVs) are equipped with controllers but are constrained by smaller flight endurance and payload carrying capability. On the contrary, lighter than air (LTA) aerial vehicles have longer flight times but have poor control performance for outdoor operations. One of the solutions to achieve better flight endurance and payload carrying capability is to augment the LTA balloon to MUAV. The novelty of this research lies in full-order mathematical modeling along with transformation to controllable form for the BUAV assembly.

Extending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW on purchase intention.

A between-subjects experiment (macro- vs mega-influencer) was conducted to assess the proposed hypotheses. A total of 190 consumers participated in the experiment, and SmartPLS 3.3 was used for multigroup analyses.

Overall, argument quality (AQ), source's credibility (SC) and influencer's kindness positively predict CW, and CW predicts purchase intention. It was also found that SC is more important when information comes from a mega-influencer, whilst kindness is essential for a macro-influencer.

The results of this study imply that CW should be an essential component of influencer marketing strategy. Marketing managers should hire credible and kind influencers who can produce quality arguments. Additionally, the selection of SMI (macro- vs mega-influencer) should be aligned with the marketing objective and type of persuasion required.

This is one of the early attempts to extend ELM by introducing influencer kindness as a peripheral cue. Moreover, the study offers novelty by examining the effects of influencer characteristics (AQ, SC and kindness) on CW and comparing these effects across macro- and mega-influencers.

藉著擴展詳儘可能性模型, 本研究擬探討網絡紅人對消費者福祉的影響, 以及消費者福祉對購買意圖的影響。

研究人員進行被試間實驗 (中網紅對大型網紅) , 以對提出的假設進行評價。190名消費者參與實驗, 研究人員使用SmartPLS 3.3 進行多群組分析。

總的來說, 論點品質、來源可信度和網紅的仁慈體貼, 均能積極預測消費者福祉, 而消費者福祉亦可預測購買意圖。研究人員亦發現, 若資訊是來自大型網紅的話, 來源可信度則更形重要, 而對中網紅來說, 仁慈體貼則是不可或缺的。

研究結果暗示, 消費者福祉應是網紅市場營銷戰略的基本要素。市場經理應僱用可靠、仁慈體貼、並能提出優質論點的網紅。而且, 網絡紅人 (中網紅對大型網紅) 的挑選, 必須與營銷目標和說服的種類互相協調。

本研究為早期的嘗試, 利用引進網絡紅人的仁慈體貼作為周邊線索, 來擴展詳儘可能性模型。另外, 本研究探討網絡紅人的特徵 (論點品質、來源可信度和仁慈體貼) 會如何影響消費者福祉; 研究人員亦跨中網紅和大型網紅, 對這些影響進行比較, 就此而言, 本研究提供了創新的研究意念。

The purpose of this paper is to provide a comprehensive and unified presentation of recent developments in skid-steer wheeled mobile robots (SSWMR) with regard to its control, guidance and navigation for the researchers who wish to study in this field.

Most of the contemporary unmanned ground robot’s locomotion is based upon the wheels. For wheeled mobile robots (WMRs), one of the prominent and widely used driving schemes is skid steering. Because of mechanical simplicity and high maneuverability particularly in outdoor applications, SSWMR has an advantage over its counterparts. Different prospects of SSWMR have been discussed including its design, application, locomotion, control, navigation and guidance. The challenges pertaining to SSWMR have been pointed out in detail, which will seek the attention of the readers, who are interested to explore this area.

Relying on the recent literature on SSWMR, research gaps are identified that should be analyzed for the development of autonomous skid-steer wheeled robots.

An attempt to present a comprehensive review of recent advancements in the field of WMRs and providing references to the most intriguing studies.