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There is currently little published information about the use of total quality (TQ)‐based self‐assessment in the UK despite the increasing interest in the subject. Discusses the findings of a survey into the practice and benefits of self‐assessment to recognized models such as the European model for Total Quality Management and the Malcolm Baldrige National Quality Award model. Survey findings indicate that companies are increasingly using self‐assessment and that benefits from this approach are quickly realized.

This research aims to combine and extend the literature on the self-monitoring approach used by faculty members in online teaching during the COVID-19 pandemic using the Technology Acceptance Model (TAM) model. The study also highlights the challenges faced by faculty members in online teaching.

Based on a mixed methodology approach, the primary data was obtained from the faculty members of the post-graduate business schools. This data enabled the measurement of self-monitoring adopted by the faculty members and the relationship of the factors by using the TAM model. Multivariate regression was adopted to study the relationships between the elements in the TAM model and faculty members’ self-monitoring. Secondly, a few exploratory questions were asked to the respondents about the challenges faced by them during online teaching.

The quantitative analysis conducted using multiple regression directed that the faculty’s contentment with any digital platform influenced their engagement, attention and participation while taking an online class as a part of the self-monitoring process. The perception of the technology platforms used for online teaching affected the faculty members’ self-monitoring dimensions: attention, participation and engagement. Based on the qualitative approach, the thematic analysis pointed out five major challenges for faculty members in conducting online classes: I.T. support, hesitation, interaction with peers and students, proficiency with an online platform and evaluation challenges.

This study was conducted during the complete lockdown of the COVID-19 pandemic; many faculty members were initially trained to get familiarized with the online teaching platforms and educate students. Hence, this study enriches the literature on online teaching during pandemic times.

To ensure that the faculty impacts quality online education and the students obtain the knowledge and skills required, faculty need to alter their pedagogy based on the technology they use to focus on their students’ teaching, learning and needs.

This study measures self-monitoring and its dimensions for faculty members, which is unique in nature. This was the first time the faculty members were imposed with the responsibility of online teaching and ensuring that the learning-teaching process was fruitful. This study has both-theoretical and practical implications as the paper focuses on various insights which can make online teaching-learning more effective.

This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.

The study presents a systematic literature review on identity expressiveness (IE), clarifying and expanding what is currently known about the concept.

To synthesize current knowledge on IE, the study uses the overarching framework of antecedents-phenomenon-consequences, using this same framework to identify gaps and future research directions. The findings show individual and brand-related factors such as the need for uniqueness and anthropomorphism as antecedents of IE, and eWOM/WOM, impulse purchases and upgrading to more exclusive lines as consequences of IE.

The study contributes to theory by synthesizing and mapping current understanding of the state of knowledge on the concept of IE while highlighting gaps in the extant literature and paving future research directions for scholars in the field.

The study offers useful insights for practitioners, broadening marketers’ actionable options in identity-based marketing. Marketers can use insights from this study to inform marketing strategy and communication campaigns for different types of brands.

To the best of the authors’ knowledge, this study is the first of its kind and offers an integrative review of the current literature on IE, thus enhancing understanding of the concept, its antecedents and consequences. The study also contributes to knowledge by highlighting future research priorities for researchers in this field of enquiry.

Examines the use of Guglielmino′s Self‐directed Learning Readiness Scale (SDLRS) by two major corporations to assess the appropriateness of self‐managed learning systems for a given population of employees. Provides a recommendation for an improved methodology for companies which are considering self‐managed learning systems.

The purpose of this paper is to explore the relationships among demographic factors (gender, age, education, and income), consumer traits (technology anxiety, need for interaction, and technology innovativeness), and intention to use retail self‐checkouts.

A total of 285 usable responses are obtained through a web‐based survey after excluding non‐qualified respondents. Structural equation modeling is developed and tested.

The results of this paper demonstrate that demographic factors only indirectly influence intention to use retail self‐checkouts through consumer traits and thus the authors conclude that individual differences in the use of retail self‐checkouts can be attributed to consumer traits which are determined by some of the demographic factors.

Demographic factors and consumer traits are only included as determinants of intention to use retail self‐checkouts. Therefore, future research could attempt to draw a comprehensive picture of retail self‐checkouts by incorporating other relevant factors.

By classifying individual difference traits into demographic factors and consumer traits, this paper provides more detailed explanations of the relationships among demographic factors, consumer traits, and intention to use retail self‐checkouts.

The purpose of this paper is to propose and to test a model that illustrates the impact of technology anxiety on the intention to use a self-service technology (SST) in public. The study includes two context variables that are relevant in public settings: perceived crowding and perceived time pressure.

A cross-sectional survey was conducted to reflect individual perceptions and intentions when initially using a self-checkout. The proposed relationships and interaction effects were examined using structural equation modeling.

The analysis confirms the core relationships of the model (technology self-efficacy→technology anxiety→perceived ease of use→ intention to use) and yields three important results. First, technology anxiety has a direct negative effect on intention to use, which is greater than the indirect effect through the reduction of ease of use. Second, perceived crowding reinforces the negative effect of technology anxiety. Third, when perceived crowding coincides with perceived time pressure, technology anxiety almost completely inhibits the intention to use the SST in public.

Technology anxiety is examined as the only antecedent of perceived ease of use.

Initial encounters to public self-service technologies should be provided in servicescapes that avoid or at least reduce perceptions of crowding and time pressure.

The approach highlights the impact of technology anxiety on the acceptance of self-service technologies used in public by considering two context variables that are salient in public settings: perceived crowding and perceived time pressure.

The current study aims to investigate the role of post‐training self‐efficacy in influencing customer perceptions and usage of self‐service technologies (SSTs). Specifically, the aim is to propose that high post‐training self‐efficacy will reduce technology anxiety and hence increase perceptions of ease of use associated with SSTs.

A self‐checkout machine in a library setting served as the study context. A total of 131 subjects were randomly assigned to two training groups (written instructions and a demonstration).

The results partially support the research hypotheses and suggest that post‐training self‐efficacy has a positive impact on customer satisfaction and ease of use. Ease of use, in turn, increased customer intention to reuse SSTs while decreasing technology anxiety.

The study has a relatively small sample size and only two training methods were tested. A control group should be included in future research.

As the first trial, the study investigated customers' post‐training self‐efficacy in SSTs by integrating training theories and SSTs studies. The results suggest service organizations use effective training programs to customers' participation in the service delivery process via SSTs. The study also explored customers' ease of use and technology anxiety in a single research. Different from previous SSTs studies, the current study suggest that ease of use and technology anxiety play various roles in customers' participation at SSTs encounters.

To investigate if online TV content platforms create value for consumers (and increase use) by offering its users the possibility to self-invest in the service (by giving personal content preferences). We link demographic and attitudinal antecedents to the relation between self-investment and use.

Data were collected together with a Belgian media company (N = 4,136). To test the effects a latent growth model was composed in a multigroup setting with gender as the grouping variable. The model is analyzed through structural equation modeling in Mplus 8.0.

In general, strong relations between self-investment and increased use were found, although the effect of self-investment on use was stronger for female consumers. Furthermore, we established strong hedonic effects on using and investing in the service. For men, easy to use platforms lead to less self-investment.

Our findings are restricted to free services. Furthermore, attitudinal variables are antecedents of behaviors. However, a more complex interplay between behavioral and attitudinal variables is possible. Further research could use repeatedly measured attitudinal measures and link these to behaviors over time.

Service developers could offer different platform interactions to different segments to create consumer value. Women seem more receptive for extra functionalities, such as the possibility to indicate preferences. Men mainly focus on the content offered.

This study focuses on a new form of media distribution, online TV content platforms, where we investigate two related behaviors of users over time (self-investment and use) instead of a general approximation of use. Multi-source data were used.

The purpose of this paper is to explore situational influences on customers' actual choice between self‐service and personal service and to examine the impact of past experiences on self‐service technology (SST) attitudes and behavior.

A supermarket self‐checkout machine is the SST under investigation. A mixed qualitative research design was used and a total of 209 observations and 47 interviews were obtained from customers in five supermarket stores in Australia.

Perceived waiting time, perceived task complexity, and companion influence are the three situational factors that impact on a customer's actual choice between self‐service and personal service. Past experiences influence SST attitudes and behavior in a more complex manner than SST characteristics and other individual difference variables.

The findings may not be generalizable to internet‐ or telephone‐based SST contexts.

By understanding what factors affect a customer's choice, better strategies can be developed to manage and coordinate multiple service delivery options. The findings also highlight the importance of preventing frequent failure and providing speedy recovery in the SST context.

This paper goes beyond SST attitudes/intentions and focuses on the moderating effect of situational factors on a customer's actual SST behavior. It also examines the impact of focal product and product‐norm experiences on SST attitudes and behavior.

The purpose of this paper is to investigate psychometric properties of the Self-Efficacy for Therapeutic Use of Self (SETUS) scales, a questionnaire based on the Intentional Relationship model, and to investigate the factor structure and internal consistency of the English version of three-part SETUS questionnaire in occupational therapy students.

The sample of this cross-sectional study included 155 students with age range 18–30 years, of which 95% were women. Principal Components Analysis (PCA) was performed on the questionnaire scales, including the Self-Efficacy for Therapeutic Mode Use (SETMU), Self-Efficacy for Recognizing Interpersonal Characteristics (SERIC) and Self-Efficacy for Managing Interpersonal Events (SEMIE). The internal consistencies were calculated. Pearson correlation analysis was used to evaluate the strength of correlation among the scales.

The PCA confirmed that the items of each of the three proposed scales loaded strongly on one factor (self-efficacy for three factors of therapeutic mode use, recognizing interpersonal characteristics and managing interpersonal events). The Cronbach’s alpha for the SETMU, SERIC and SEMIE was 0.85, 0.95 and 0.96, respectively. The three scales significantly inter-correlated strongly (r ranging 0.74–0.83, all p < 0.001).

The SETUS questionnaire comprises three valid and reliable scales. It can be used by occupational therapy supervisors as a means to reflect on students’ self-efficacy in components of therapeutic use of self.