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This paper aims to further develop stator permanent magnet (PM) type memory machines by providing generalized design guidelines for double-stator memory machines (DSMMs) with hybrid PMs. This paper discusses the design experience of DSMMs and presents a comparative study of radial magnetization (RM) and circumferential magnetization (CM) types.

It begins with an introduction to RM and CM operating principles and magnetization mechanisms. Then, a comparative study is conducted for one of the RM-DSMM rotor pole pairs, inner and outer stator clamping angles and low coercive force PMs thickness. Finally, the two machines’ finite element simulation performance is compared. The validity of the proposed machine structure is demonstrated.

In this paper, the double-stator structure is extended to parallel hybrid PM memory machines, and two novel DSMMs with RM and CM configurations are proposed. Two types of DSMMs have PMs and magnetizing windings on the inner stator and armature windings on the outer stator. The main difference between the two is the arrangement of PMs on the inner stator.

Conventional stator PM memory machines have geometrical space conflicts between the PM and armature windings. The proposed double-stator structure can alleviate these conflicts and increase the torque density accordingly. In addition, this paper contributes to comparing the arrangement of hybrid PMs for DSMMs.

The purpose of this paper is to introduce and analyze a dual-side-permanent-magnet Halbach array vernier (DSPMHV) machine and to propose methods for achieving high torque density.

Flux harmonics and torque characteristics are analyzed by using finite element analysis. First, a suitable pole-slot combination is selected by comparison. Second, field modulation processes of DSPMHV machine are analyzed to identify the reason for high torque density. And it is compared with dual-side-PM (DSPM) machine to analyze flux harmonic and verify the flux concentrating effect of the Halbach array.

The permanent magnet (PM) field of the DSPM machine is approximately equal to the superposition of stator-PM field and rotor-PM field, which is the reason for high torque density. And the Halbach array can reduce flux leakage and increase the amplitude of main flux harmonics, then further improves torque. Improvement of torque can be achieved by choosing right pole-slot combination, adopting DSPM machine structure, reducing flux leakage and adopting field modulation principle.

The DSPMHV machine with split-tooth is proposed in this paper by combining the Halbach array with DSPM structure. This paper analyzes the bidirectional field modulation process, the reason for high torque density of the DSPM machine is obtained. Comparison with the DSPM machine verifies the flux concentrating effect of Halbach array. To alleviate the magnetic saturation in part of stator teeth, this paper proposes an improved DSPMHV machine with shaped auxiliary magnet.

Drawing upon extended-self theory, this research aims to understand how different access modes of consumption and product type influence consumers' perceptions of self-product connection and sense of individual and collective ownership.

Two experiments assessed the impact of access modes (temporary vs permanent) and product types (tangible vs intangible) on individual and collective psychological ownership (IPO and CPO) as well as the mediating role of self-product connection in these relationships.

Temporary access reduces IPO compared to permanent access. Moreover, self-product connection mediates the relationship between access modes and both IPO and CPO. Product type significantly moderates the degree of psychological ownership, with intangible products having a notable influence on the impacts of access modes on IPO and CPO.

Understanding the nuances of access-based consumption and its effects on psychological ownership can inform marketers and businesses in designing more effective strategies for product offerings and access modes. Highlighting self-product connection can aid in cultivating stronger consumer relationships and loyalty in access-based consumption contexts.

This study contributes to the existing literature on consumer access-based consumption by shedding light on the changing dynamics of material possessions and the psychological mechanisms underlying ownership perceptions in access-based models.

This study aims to investigate the influence of brand familiarity, consumer green consciousness (GC) and chronic regulatory focus on consumer attitudes, buying intentions and willingness to pay more for eco-friendly products in a comparison between eco-friendly and non-eco-friendly products among Generation Z consumers.

An experiment with a between-subjects design was conducted with 151 Malaysian Generation Z consumers.

When consumers are more familiar with an eco-friendly brand than a non-eco-friendly brand, their attitude toward, buying intention and willingness to pay more for eco-friendly products are significantly higher than for non-eco-friendly products. In contrast, such effects are not significant when consumers are more familiar with a non-eco-friendly brand than an eco-friendly brand. Hence, young consumers are more inclined to favor a familiar eco-friendly brand than a familiar non-eco-friendly one. Consumers with higher GC are willing to pay more than consumers with lower GC for products of a familiar eco-friendly brand. When consumers are less familiar with an eco-friendly brand, those with a higher chronic promotion focus (CPF) will have a more favorable attitude toward, and a higher intention to buy, eco-friendly products than those with a lower CPF.

Awareness of how these factors influence consumer purchase behavior can help retailers and marketers design and communicate specific messages to highlight their brand and product eco-friendliness in their marketing strategies. Doing so may increase familiarity with their brand and the demand for and purchase of their brand’s eco-friendly products.

This research explores the influence of an integrated model of brand familiarity, GC and CPF on consumer purchase behavior in the comparison between eco-friendly and non-eco-friendly products. This has not been clearly examined in previous research.

Fear of Missing Out (FOMO) is characterized by anxiety over potentially missed experiences, while Joy of Missing Out (JOMO) embraces contentment in opting out of social engagements. Drawing on cognitive appraisal theory, this study aims to investigate how FOMO and JOMO appeals influence pride, gratitude and purchase intention while considering the impacts of age and social comparison orientation.

Three experiments examined the impact of FOMO (Study 1), JOMO (Study 2), and comparison between FOMO and JOMO (Study 3) on pride, gratitude and purchase intention. Moderated-moderated mediation models were also tested to assess the roles of age and social comparison orientation (SCO).

FOMO appeals tend to boost feelings of pride, while JOMO appeals promote gratitude, both of which result in a higher likelihood of making a purchase. The effect of FOMO appeal on purchase intention via pride is stronger among younger consumers with high SCO. In contrast, the impact of JOMO appeal on purchase intention via gratitude is higher among older consumers with low SCO.

Understanding the nuances of different advertising appeals and their effect on consumer emotions (e.g. pride and gratitude) and purchase intention can inform marketers and advertising agencies in crafting more targeted and effective advertising campaigns that resonate with diverse consumer segments.

This study adds to the consumer emotion literature and generational research by emphasizing the role of emotions and age in shaping consumer responses to advertisements.

The purpose of this paper is to investigate the differences in consumer pleasure, arousal and purchase intention when consumers encounter food advertising on Instagram using different endorsers and visual complexity levels.

An experimental design was conducted involving 180 undergraduate students from several universities in Surabaya, Indonesia. The participants had actively used Instagram for at least one year.

Food ads endorsed by a celebrity generate more pleasure and arousal than those endorsed by food experts. Food advertising using high levels of visual complexity cues generates more pleasure and arousal than less complex advertising. However, less complex food ads using food experts create greater pleasure than those endorsed by celebrities. Consumer pleasure and arousal were significant mediators of the impact of endorser type and visual complexity on consumer purchase intentions.

As celebrities and higher levels of visual complexity result in more favorable responses to Instagram ads, food marketers need to consider increasing visual complexity when using celebrities in advertising by adding more objects, using more colors, objects, or textures and incorporating asymmetric elements in the advertisements.

This is one of the few studies comparing the effectiveness of celebrity and expert endorsers in Instagram advertising. Also, this research extends the existing knowledge about visual complexity in the context of social media advertising.

The purpose of this paper is to use Lean Six Sigma (LSS) to reduce patient waiting time in a Kuwaiti private hospital obstetrics and gynaecology clinic.

The define, measure, analyse, improve and control methodology was used. The “define” stage involved identifying patients’ needs, system capabilities and project objectives. The “measure” stage assessed the system’s current state through data collection on waiting times. Dunnett’s test, control charts and process capability analysis were used to ensure data accuracy. In the “analyse” stage, an Ishikawa diagram and Pareto chart were constructed, showing that overbooking appointments, doctors’ unscheduled breaks and doctors not arriving on time were the root causes of the problem. The “improve” stage used an Arena simulation model to represent current and improved system status. The proposed solutions were implemented and monitored in the “control” stage.

A sigma-level improvement of 300 per cent (0.5–2.0) was realized for appointment patients on Saturdays, with a 67 per cent reduction in waiting time. For walk-ins, the sigma level improved by 288 per cent (0.8–3.1), with a 55 per cent reduction in waiting time. For weekday appointments, the sigma level improved by 111 per cent (0.9–1.9), with a 63 per cent reduction in waiting time. For walk-ins, the sigma level improved by 69 per cent (1.6–2.7), with a 46 per cent reduction in waiting time. A cost–benefit analysis estimated the present project value at $656,459, leading to a total of $5,820,319 in savings by 2025.

This paper fulfils the need for process improvement, increasing patients’ satisfaction and hospitals’ profitability using LSS.

The topic of Lean Six Sigma (LSS) implementation in a supply chain context is an emerging research stream comprising of diverse objectives and complex processes thereby presenting opportunities for further exploration and organizational process improvement. Thus, this study proposes an integrated multi-criteria decision-making methodology to determine what can facilitate the successful implementation of LSS as an organizational change strategy in the manufacturing supply chain.

The proposed methodology based on Decision-Making Trial and Evaluation Laboratory and hierarchical Evaluation Based on Distance to Average Solution is employed to ascertain the relative importance and priorities of an identified framework of factors with the aid of opinions of managers in the Nigerian plastics industry.

The results show a high significance of institution-based factors (e.g. government regulations) and present relevant implications to the policymakers as well as the managers and practitioners of the plastics manufacturing industry.

This study indicates a possible pathway to accurately evaluate a framework of critical factors to integrate and institutionalize LSS in the manufacturing supply chain for organizational performance improvement.

This paper aims to report a prototype of a reliable method for rapid, sensitive bacterial detection by using a low-cost zinc oxide nanorods (ZnONRs)-based electrochemical sensor.

The ZnONRs have been grown on the surface of a disposable, miniaturized working electrode (WE) using the low-temperature hydrothermal technique. Scanning electron microscopy and energy dispersion spectroscopy have been performed to characterize the distribution as well as the chemical composition of the ZnONRs on the surface, respectively. Moreover, the cyclic voltammetry test has been implemented to assess the effect of the ZnONRs on the signal conductivity between −1 V and 1 V with a scan rate of 0.01 V/s. Likewise, the effect of using different bacterial concentrations in phosphate-buffered saline has been investigated.

The morphological characterization has shown a highly distributed ZnONR on the WE with uneven alignment. Also, the achieved response time was about 12 minutes and the lower limit of detection was approximately 103 CFU abbreviation for Colony Forming Unit/mL.

This paper illustrates an outcome of an experimental work on a ZnONRs-based electrochemical biosensor for direct detection of bacteria.

This study aims to empirically examine the influence of transformational leadership on job satisfaction in Jordanian commercial banks through knowledge sharing as a mediator. The data were collected from 232 employees and then analyzed through regression analysis using SPSS. The results revealed that there is a significant influence of transformational leadership on job satisfaction, as well as a significant influence of knowledge sharing on this relationship. These findings imply that if managers adopt transformational leadership, their subordinates can be satisfied with their jobs, specifically if they facilitate knowledge sharing. This study sheds light on improving organizational performance and employee engagement in a specific context and provides excellent direction for future contributions.