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The purpose of this paper is to identify the factors that explain the acceptance of self-service ordering systems (SOSs) for restaurants and to explore the effects of “self-service system service quality” (SSQ) and “interpersonal service quality” (ISQ) on the acceptance factors extended from the Unified Theory of Acceptance and Use of Technology model.

This study targets customers who have recently used SOSs to order foods in middle-class restaurants. In total, 402 valid survey samples were obtained. Partial least squares (PLS) analysis was used to examine the factors of user acceptance of using SOSs.

The results of the PLS-SEM analysis indicate that SSQ has a significant effect on accuracy expectancy, speed expectancy and effort expectancy; ISQ has a significant effect on accuracy expectancy, speed expectancy, effort expectancy and facilitating conditions; and accuracy expectancy, speed expectancy, effort expectancy, social influence, facilitating conditions and budget expectancy significantly influence user acceptance of SOSs. Furthermore, user experiences moderate the effect of speed expectancy and effort expectancy on user acceptance.

This study introduces three technology acceptance factors (accuracy, speed and budget) for researchers to consider in the future. It also extends the knowledge about the human service factor when middle-class restaurants adopt self-service technologies (SSTs). Recommendations are provided for system developers to improve the system quality of SSTs and service staff to rethink their roles in adopting SSTs in the service industry.

本文研究目的有:（1）确认解释客人接受餐厅自助订餐系统（SOSs）的决定因素（2）探索自助系统服务质量（SSQ）和人机服务质量（ISQ）对于UTAUT模型科技接受因素的作用。

本论文的目标受众为近期使用过SOSs在中等餐厅点餐过的客人。样本为402份有效问卷数据。本论文使用PLS分析检测用户接受SOSs的各项因素。

PLS-SEM分析结果表明, SSQ对准确预期、速度预期、努力预期, 有显著作用; ISQ对于准确预期、速度预期、努力预期、以及辅助条件, 有显著作用; 准确预期、速度预期、努力预期、社会影响、辅助条件、以及预算预期对于SOSs用户接受有显著作用。此外, 用户体验调节速度预期和努力预期对于用户接受的作用。

本论文新增了三种科技接受因子（准确度、速度、和预算）, 为未来的科研创造土壤。本论文还扩展了我们对于人员服务因子在中等餐厅采用SSTs的认知。本论文建议系统开发者应该提高SST系统质量, 以及建议服务人员重新审视在服务产业采用SST中自己的位置。

The growth of omni-channel retailing is causing consumers to change their habits and shopping behaviour. It is essential to understand the factors on purchase intention within the consumer context. The purpose of this paper is to explore factors that are influencing consumers to use omni-channel in their shopping behaviour – specifically in the apparel sector in Turkey as an emerging country.

Designed as exploratory research, this study used four different focus groups. Focus groups were conducted with university students who have experienced the company’s omni-channel applications. The study sample included a total of 30 purposefully selected university students in Izmir, Turkey, who previously shopped at the same store. The selected retail store is the leading domestic shopping brand and the pioneer in omni-channel in the apparel and fashion sector in Turkey. The participants were given three company-related scenarios which were used to help the students to better understand omni-channel applications of the company. Then, they were asked to discuss their perceptions and intentions towards omni-channel shopping. Content analysis was used for analysing transcripts.

The findings of the focus groups have revealed 12 themes about the intentions of the university students towards omni-channel shopping. Among 12 themes, it is observed that 6 of them have similarities with the variables of the UTAUT2 model. The findings of the study showed that, beside the additional themes, the predetermined variables of the UTAUT2 model within the literature; which are “performance expectancy”, “effort expectancy”, “facilitating conditions”, “hedonic motivation”, “habit” and “price value” have affected purchasing intentions towards omni-channel shopping. This study proposed six additional themes which were not revealed in the previous studies on purchase intentions in an omni-channel shopping in apparel sector. The six additional themes proposed in this study are; “perceived trust”, “situational factors”, “perceived risk”, “anxiety”, “need for interaction” and “privacy concern”.

This study is limited to the focus group interviews held in only one university with students from the same programme. The findings are obtained also only valid for the relevant retail store and city, and cannot yet be generalised.

The relationships suggested in this exploratory study can further be analysed by quantitative study. It is also claimed that the findings of this study can act as a framework to extend the UTAUT2 model by integrating perceived trust, situational factors, perceived risk, anxiety, need for interaction and privacy concern. This model will enable retailers to understand consumer expectations towards omni-channel shopping and to focus on integrating these factors through whole purchasing process in order to increase omni-channel sales.

The literature on omni-channel has concentrated on the retailers’ perspective, whereas this study aims to reveal an insight from the consumer perspective. The contribution of the study is to provide a framework for understanding the themes on consumer viewpoint in the omni-channel shopping behaviour.

The adoption of the Internet of Things (IoT) as a new technology is gaining traction in many business organizations in developing countries. The purpose of this study is to assess the effect of IoT on the organizational performance of Tanzanian banks.

For data collection, this study used a quantitative approach with a questionnaire. A total of 342 respondents were considered, with an 82.16% response rate. AMOS software was used to analyze data using structural equation modeling (SEM) as the primary technique.

The results revealed that the majority of the hypotheses tested in this study have a significant effect on organizational performance, as indicated by their p-value of 0.05. However, there is no statistically significant effect of performance expectancy on organizational performance by lowering IoT operation costs. Furthermore, the availability of IoT has no discernible effect on organizational performance by improving service quality.

The findings of this study inform policymakers to reformulate information and communication technologies policy to clearly spell out the adoption and implementation of the IoT as a new technological innovation for providing services not only in the banking sector but also in other service delivery organizations. In particular, the policy should have a clear vision of implementing an appealing, conducive and positive, meaningful service delivery environment, as well as achieving appropriate, successful, effective and sustainable organizational performance

As a result, this paper contributes to a better understanding of the factors (including performance expectancy, effort expectancy and accessibility) of IoT on organizational performance by influencing operational costs, service delivery speed and service quality. These factors were not adequately addressed in previous related studies, and they have a significant influence on organizational performance levels in Tanzanian banks.

The purpose of this paper is to explore how drivers differentially speed up the change process adoption in the perspective of a technological change. More specifically, the paper aims to answer the following question: “Which factors impact the technological change adoption speed of an information system?” Based on an empirical study, our results identify three factors that have a direct influence on the speed of technological change adoption.

Using the Unified Theory of Acceptance and Use of Technology model as a point of departure, the paper analyzes the impact of eight variables grouped in four categories: the perceived attributes of change (performance expectancy and effort expectancy), social influence (peer influence and supervisor influence), facilitating conditions (initial training and helpdesk) and individual characteristics (receptivity to change and self-efficacy). To evaluate which factors accelerate or inhibit change adoption, the paper uses a statistical model of survival analysis.

Based on a 15-month longitudinal study of a workflow system implementation in a telecommunications firm, the results highlight that performance expectancy, supervisor influence and self-efficacy have a direct influence on the speed of technological change adoption.

As a case study, the research findings may only be valid in the particular organization in which it is developed. Indeed, the organizational culture, the company's internal rules, and the history of the organization are factors which significantly influence the speed of change.

The results may help project leaders to be aware of the elements that must be dealt with effectively if a change process is to succeed within the allotted time.

The statistical model of survival analysis allows analyzing change adoption from a dynamic perspective. This statistical approach is quite new and complementary with most of the studies which are qualitative in the field.

This study aims to analyze the internal and external factors of the acceptance of small and medium enterprises (SMEs) to implemented sustainable business model innovations (SBMI) that depend on external factors, dynamic performance expectancy, facilitating conditions, social influence, effort expectancy, hedonic motivation and factor internal speed.

This is a quantitative method research project conducted through a survey of SMEs in Semarang, Central Java, from February to June 2021. SMEs that have been operated to sustainable business were chosen purposively as samples. Based on the requirement, there are 220 entities used in this study. Data analysis was conducted by using Structural Equation Model.

The results of this study provide empirical support that the factors studied affect the acceptance of SME business actors toward the implementation of SBMI. The application of this SBMI is used to design and implement a sustainable business model for SME businesses. This study has identified, explained and empirically supported the behavioral structures (composites and factors) that influence the adoption of SBMIs that are commonly available for business modeling.

The main limitation of this research is the static view of the structure (construction) that influences the use or application of SBMI by SME actors which often changes over time, experience and failure.

This study supports the execution of sustainable innovation initiatives that have yet to be investigated at the strategic, operational and tactical levels. This is especially true when beginning a firm, because entrepreneurs encounter uncertainty while putting their plans into action at one of three levels: strategic, operational or tactical.

Purpose – A placebo effect is a (positive) change in health outcomes that is due to a (positive) change in beliefs about the value of a treatment. Placebo effects might be “behavioral,” in the sense that revised beliefs lead to behavioral changes or new actions that in turn yield changes in health outcomes. Placebo effects might also include a “physiological” component, which refers broadly to non-behavioral, brain-modulated mechanisms by which new beliefs cause changes in health outcomes. Nearly all formal economic models of human behavior are consistent with behavioral placebo effects, but strongly inconsistent with their physiological counterparts. The reason is that the latter effects can imply that expectations enter, rather than multiply, state-contingent preferences. It is therefore unfortunate that little evidence exists on physiological placebo effects. We report data from novel clinical experiments with caffeine that seek to provide such evidence.

Methods – Subjects visit the clinic on multiple occasions. On each visit they ingest either a placebo or caffeine pill. Subjects only know the probability with which the pill includes caffeine. We obtain physiological measurements prior to ingestion and at 30, 60, and 90min after ingestion. Importantly, we constrain subjects to remain seated and read pre-selected magazines during the interval between treatment and outcome measurement.

Findings – Our design provides particularly clean inference because it (i) eliminates the possibility of behavioral confounds; (ii) provides for measurements at the individual level; (iii) manipulates beliefs without deception; and (iv) uses salient rewards. We find evidence for the existence of physiological placebo effects mediated by expectations.

Implications – Our results are consistent with the possibility that the prefrontal cortex provides external, top-down control that modulates physiological outcomes, and make a case for the importance of research geared toward developing appropriate and tractable frameworks that accommodate non-linear relationships between expectations and preferences.

This study aims to investigate the antecedents of behavioral intention and actual usage of mobile payment (m-payment) services during the COVID-19 pandemic among Indian consumers.

The proposed research model of this study is based on the extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT2) by using two additional variables, namely, perceived security (PS) and perceived trust (PT). In total, 436 sample respondents are chosen from Indian consumers with experience using m-payment services through the online survey method. The data analysis and proposed hypothetical relationships were tested using confirmatory factor analysis and structural equation modeling techniques.

The results confirm that performance expectancy, effort expectancy, facilitating conditions, PS, PT, habit and price value are antecedents of consumer intention toward adopting m-payment services. Furthermore, behavioral intention significantly influences the actual usage of m-payment services during the COVID-19 pandemic.

Though the impact of COVID-19 has been observed during the research period in getting responses from m-payment service users, the constructs used in the study are confined to the UTAUT2 model, and dimensions related to COVID-19 are not directly included in the measurement scale. The study’s findings propose valuable insights for service providers and policymakers.

This study’s results offer valuable insights to the service providers and policymakers to achieve the Government of India digital India objective of “Faceless, Paperless and Cashless” transactions.

This study’s results contribute to extending the empirical research literature on m-payment as antecedents of behavioral intention toward the adoption of m-payment services during the COVID-19 pandemic. Furthermore, this study assumes important interrelationships among UTAUT2 constructs with the additional incorporation of PS and PT.

This study aims to identify the acceptance factors in the UAE for the digital mobile payment market, introduces a new hierarchical framework based on the continuation intention factors and prioritises the importance of the acceptance criteria and sub-criteria.

The measurement of acceptance factors in payment systems is a complex and unstructured topic involving many criteria and sub-criteria, which requires breaking the problem down into several components organised in a hierarchical multi-level form. The analytic hierarchy process (AHP) methodology manages the complexity of multi-criteria decision-making processes based on a new set of criteria connected to the adoption and continuance intention factors.

The AHP framework developed a ranking of 18 sustainability sub-factors based on evaluations by experienced payment professionals.

The future directions of the research would be to investigate the impact of dynamic capabilities on the resilience of retail service networks, especially during COVID-19, where supply and demand are highly indeterminate.

Through successive stages of data collection, measurement analysis and refinement, the contribution of this research is a reliable and valid framework that can be used to conceptualise and prioritise sustainability strategies in payment management.

Given the lowest mobile payment products penetration rates of the UAE and the scarcity of literature on this topic, this study aims to contribute to the knowledge by including UTAUT, the IS success model and the impact of COVID-19 as adoption and continuance intention factor in the digital mobile payment case in the UAE.

This work aims to compare the vibration behavior of roller and ball bearings operating with clean and quartz‐contaminated lubricants. Wear influence on vibration of both bearing types was also compared.

Experimental tests were run in clean and contaminated mineral oil. Contaminant quartz particles of 59 μm average size were tested in three concentration levels: 0.05, 0.25 and 0.5 g/l. Radial vibration of the roller bearing was measured by accelerometer and wear was analyzed through microscopy of the surfaces and optical spectrometry of oils.

Differences in vibration response among both bearing types were observed regarding the root mean square value of vibration data in the high frequency band (600‐10,000 Hz); differences in wear influence on vibration were also identified and correlated to the differences in the tribological features.

This paper presents a methodology for detecting contamination and wear of roller bearings by applying a simple procedure of vibration monitoring and analysis.