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This study aims to explore and compare the approach and avoidance factors in motivating students to study using three different learning methods: face-to-face learning, online learning and hybrid learning.

This research uses in-depth online interviews to gain insights from students. Purposive sampling was applied to recruit 33 informants from two private universities in Indonesia. The verbatim data were analyzed using a thematic content analysis to identify motivational factors.

This study revealed four motivational factors regarding the approach to face-to-face learning/avoidance of online learning and five motivational factors regarding the approach to online learning/avoidance of face-to-face learning. Most of the motivational factors (i.e. learning effectiveness, social interaction, campus life experiences, physical wellness, flexibility and technological learning) are also found in the approach to hybrid learning.

The existing qualitative research suffers from generalizability, as does this study. Future research can investigate other contexts or use quantitative research to validate the findings.

By identifying the approach and avoidance motivational factors, higher education institutions can enhance the approach (positive) factors and minimize or eliminate the avoidance (negative) factors that motivate their students to study using different learning methods.

This research complements the existing literature using new perspectives, namely, the approach and avoidance factors that motivate students to study through face-to-face learning, online learning and hybrid learning post-COVID-19.

Several graphs, streamlines, isotherms and 3D plots are illustrated to enlighten the noteworthy fallouts of the investigation. Embedding flow factors for velocity, induced magnetic field and temperature have been determined using parametric analysis.

Ternary hybrid nanofluids has outstanding hydrothermal performance compared to classical mono nanofluids and hybrid nanofluids owing to the presence of triple tiny metallic particles. Ternary hybrid nanofluids are considered as most promising candidates in solar energy, heat exchangers, electronics cooling, automotive cooling, nuclear reactors, automobile, aerospace, biomedical devices, food processing etc. In this work, a ternary hybrid nanofluid flow that contains metallic nanoparticles over a wedge under the prevalence of solar radiating heat, induced magnetic field and the shape factor of nanoparticles is considered. A ternary hybrid nanofluid is synthesized by dispersing iron oxide (Fe3O4), silver (Ag) and magnesium oxide (MgO) nanoparticles in a water (H₂O) base fluid. By employing similarity transformations, we can convert the governing equations into ordinary differential equations and then solve numerically by using the Runge–Kutta–Fehlberg approach.

There is no fund for the research work.

This kind of study may be used to improve the performance of solar collectors, solar energy and solar cells.

This investigation unfolds the hydrothermal changes of radiative water-based Fe₃O₄-Ag-MgO-H₂O ternary hybrid nanofluidic transport past a static and moving wedge in the presence of solar radiating heating and induced magnetic fields. The shape factor of nanoparticles has been considered in this study.

This study examines the impact of customer involvement (CI), technology strategy, firm internationalization and servitization on product and service innovation performance (SIP) in hybrid offerings. In addition, it investigates the moderating role of digitization and co-creation in the relationship mentioned above.

A research framework was developed through the lens of service-dominant (S-D) logic theory, and the proposed research hypotheses were empirically tested. Primary data were collected via the survey method, and structural equation modeling was used to analyze the data.

Findings of this study suggest that the S-D logic theory effectively explains CI and servitization in hybrid offerings. Furthermore, digitization is a crucial driver of SIP. Additionally, this paper finds that co-creation moderates between servitization and innovation performance of hybrid offerings.

Besides theoretical contributions, this study presents valuable insights to manage service networks during servitization.

First, this work proposes a comprehensive framework of hybrid offerings' driving factors (i.e. CI, firm internationalization, technology strategy and servitization) and their impact on product and SIP. Second, it tests the moderating effects of digitalization and co-creation in the context of hybrid offerings.

This paper aims to identify the dimensions of service quality in the case of hybrid services.

The service quality dimensions are identified using an exploratory factor analysis (EFA). Next the reliability and validity of the factors are established through confirmatory factor analysis (CFA) using AMOS.

The paper identifies nine service quality dimensions in the hybrid services – customer service, staff competence, reputation, price, tangibles, ease of subscription, technology security and information quality, technology convenience, and technology usage easiness and reliability.

The various dimensions of service quality should be viewed as the levers of improving perceived service quality in the minds of its current customers. Identifying the service quality dimensions in hybrid contexts can offer service providers valuable insights regarding on which aspects of the service to focus in order to improve customer satisfaction, loyalty, and commitment to the firm.

This paper introduces the concept of hybrid services, wherein a mix of technology and human interaction is used to produce and deliver services. Furthermore, since hybrid services have received little attention in the literature, the study addresses this gap by identifying a set of dimensions that are relevant for measuring service quality in hybrid contexts.

This study builds on an existing framework for hybrid ventures, those that emphasize both social and economic goals and outcomes. We examine the relationship between human capital characteristics and hybrid ventures. The sample is drawn from the 2008 and 2009 US Global Entrepreneurship Monitor dataset. Our findings suggest that start-up traditional ventures are characterized by entrepreneurs with previous work experience, that females are more likely to lead an established hybrid venture, and that there is a u-shaped relationship with regard to age in start-up hybrid ventures. The findings also suggest that all entrepreneurial ventures exhibit some degree of hybridness.

This study aims to investigate the manufacturing reshoring decision-making content from an Eclectic Paradigm perspective.

Data were collected through a six-step systematic literature review on factors influencing manufacturing reshoring decision-making. The review is based on 100 peer-reviewed journal papers discussing reshoring decision-making contents published from 2009 to 2022.

In total, 80 decision factors were extracted and then categorized into resource-seeking (8%), market-seeking (11%), efficiency-seeking (41%) and strategic asset-seeking (16%) advantages. Additionally, 24% of these were identified as hybrid, which means that they were classified into multiple categories. Some decision factors were further identified as reshoring influencing factors (i.e. drivers, enablers and barriers).

Scholars need to consider what other theories can be used or developed to identify and evaluate the decision factors (determinants) of manufacturing reshoring as well as how currently adopted theory can be further advanced to create clearer and comprehensive theoretical frameworks.

This research underscores the importance of developing clearer and more comprehensive theoretical frameworks. For practitioners, understanding the multifaceted nature of decision factors could enhance strategic decision-making regarding reshoring initiatives.

To the best of the authors’ knowledge, this is the first study to investigate the value and practicality of the Eclectic Paradigm in categorizing factors in manufacturing reshoring decision-making content and presents in-depth theoretical classifications. In addition, it bridges the gap between decision factors and influencing factors in the decision-making content research realm.

Past research often relies on linear relationship assumptions from the perspective of managers when studying the relationship between attribute performance and satisfaction. However, this study extracts tourists’ online reviews to explore asymmetric relationships and identifies island tourism satisfiers, hybrids and dissatisfiers.

The research uses 3,523 reviews from Tripadvisor to examine Langkawi Island’s tourist satisfaction. Latent Dirichlet allocation (LDA) machine-learning approach, penalty–reward contrast analysis and asymmetric impact-performance analysis (AIPA) were employed to extract and analyse the data.

Langkawi’s dissatisfiers included “hotel and restaurant”, “beach leisure”, “water sport”, “snorkelling”, “commanding view”, “waterfall”, “sky bridge walk”, “animal show”, “animal feeding”, “history culture”, “village activity” and “duty-free mall”. Amongst these, five were low performers. Hybrids encompassed “ticket purchasing”, “amenity” “traditional food market” and “gift and souvenir”, all of which were low performers. Only one attribute was categorised as a satisfier: “nature view” which performed exceptionally well.

This study provides recommendations to enhance tourist satisfaction and address tourist dissatisfaction. The elements requiring immediate attention for enhancement are the five low-performance dissatisfiers, as they represent tourists’ fundamental expectations. Conversely, the satisfier or excitement factor (i.e. nature views – mangroves and wildlife) could be prominently featured in promotional materials.

This research constitutes an early endeavour to categorise attributes of island tourism into groups of satisfaction, hybrid or dissatisfaction based on user-generated data. It is underpinned by two-factor and three-factor theories.

This paper aims to explain voter perceptions and voting behaviour in the 2010 UK General Election on the basis of this theory, by evaluating the differential impact of government performance on key political issues defined as hierarchical voter satisfaction factor types. The validity of the three-factor theory of satisfaction in explaining consumer decision-making for products and services is well-established.

British Election Survey (2010) data are used to test the relative influence of hierarchical voter satisfaction factor types in predicting the perceived overall performance of the former Labour government and actual voting behaviour. Sequential and multinomial logistic regression models are used in the perceived overall performance of the former Labour government and actual voting behaviour, respectively.

“Basic” factors explain more of the variance in perceived overall government performance and voting behaviour than “performance” factors. There are significant positive main and interaction effects on Conservative and Liberal Democrat party votes from Labour’s underperformance on the “basic” factors. The results have important implications for political marketing and voting behaviour research.

The study establishes the relevance of the three-factor theory of satisfaction within a political marketing context. It demonstrates that, controlling for party loyalty, perceived government performance on the hierarchical voter satisfaction factors explains voter perceptions and voting behaviour to a significant degree. In particular, it highlights the criticality for voting behaviour of both the direct and indirect impacts of “basic” factor underperformance.

This study aims to explore how the “new normal” induces the dynamics in the asymmetric relationship between service quality attributes and customer satisfaction.

This study analyzes online reviews for hotels in New York City. The authors use multi-attribute models to examine how a situational factor – the COVID-19 outbreak – creates dynamics in the asymmetric effect of service quality attributes on customer satisfaction. Then, the authors examine the change in these dynamics over time after adjusting to the “new normal.”

The COVID-19 pandemic has introduced dynamics into the asymmetrical relationship between hotel service attribute performances and customer satisfaction. The pandemic magnified the asymmetric influences of particular attributes on satisfaction in the hospitality industry. In addition, the findings indicate the changes in such dynamics over time.

The findings emphasize that hotel managers should consider situational factors when understanding customer satisfaction. Particularly, this study suggests developing tailored strategies for responses during the COVID-19 pandemic. Hotel managers need to address changing customer expectations of service attributes to overcome unprecedented difficulties because of the limitations and new needs imposed during the pandemic.

This study contributes to the hospitality literature with an understanding of the significance of situational factors in asymmetric analysis.

Delivery vulnerability is a critically important theme in logistics risk management. However, while logistics service providers often collect and retain massive amounts of logistics data, they seldom utilize such information to diagnose recurrent day-to-day logistics risks. Hence, the purpose of this paper is to investigate delivery vulnerabilities in a logistics system using its own accumulated data.

This study utilizes pragmatic business analytics to derive insights on logistics risk management from operations data in a logistics system. Additionally, normal accident theory informs the discussion of its management implications.

This study’s analytical results reveal that a tightly coupled logistics system can align with normal accident theory. Specifically, the vulnerabilities of such a system comprise not only multi-components but also interactive ones.

The tailored business analytics comprise a research foundation for logistics risk management. Additionally, the important research implications of this study’s analytical results arrived at via such results’ integration with normal accident theory demonstrate the value of that theory to logistics risk management.

The trade-offs between logistics risk and logistics-system efficiency should be carefully evaluated. Moreover, improvements to such systems’ internal resilience can help to alleviate potential logistics vulnerabilities.

This pioneering analytical study scrutinizes the critical vulnerability issues of a logistics service provider and therefore represents a valuable contribution to the field of logistics risk management. Moreover, it provides a guide to retrieving valuable insights from existing stockpiles of delivery-vulnerability data.