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E-commerce service failures have been the bane of e-commerce, compelling customers to either abandon transactions entirely or switch to traditional brick-and-mortar establishments. Yet, there is a paucity of studies that investigates how such failures manifest on e-commerce websites and their impact on consumers. This paper, therefore, synthesizes extant literature on e-service and system success to arrive at a novel classification system that delineates e-commerce service failures into information, functional, and system categories, each with its own set of constituent dimensions. Extending expectation disconfirmation theory (EDT), we further distinguish among disconfirmed outcome, process, and cost expectancies as major consequences of e-commerce service failures. A theoretical model of e-commerce service failure classifications and their consequences was constructed together with testable propositions that relate the three failure categories to consumers’ disconfirmed expectancies. Finally, we explore the validity of our theoretical model based on descriptive accounts of actual occurrences of e-commerce service failures and their corresponding consequences. Consistent with our theoretical model, information and functional failures were found to be associated with disconfirmed outcome and process expectancies respectively. System failures, on the other hand, do not affect consumers’ disconfirmed expectancies, thereby contradicting our predictions. Post hoc analysis on constituent dimensions of information, functional, and system failures yielded additional insights on the preceding observations.

Effective management of climate change risk requires an understanding of how to encourage positive behaviour change at the collective level. The urgency of the problem and the social dilemma nature of decisions about whether to engage in pro-environmental behaviours raise particular challenges for policy makers and those involved in designing interventions. Evidence reveals that efficacy beliefs (judgements of the ease of carrying out a particular act) and outcome expectancy beliefs (judgements of the value of acts in reaching goals) function as important determinants of human motivation and action (Bandura, 1995). However, efficacy and associated constructs remain poorly theorised at the collective level, particularly in social dilemma situations where goals may exist at both individual and collective levels. We develop a framework that incorporates collective forms of efficacy and outcome expectancy for large-scale, social dilemma situations, and operationalise these constructs. We then discuss how this framework can support us in managing climate change risk by allowing us to identify the specific forms of efficacy and outcome expectancy that should be targeted in research, science communication and policy.

Self-efficacy is one of the important variables for teachers’ professional development. However, there have been few studies investigating the relationship between anxiety related to teaching science, interest in science, and self-efficacy. Therefore, this study aimed to explore this relationship with preservice teachers. The researchers used a path analysis model, descriptive statistics, correlations, and a path diagram to analyze the data. The results revealed that outcome expectancy positively predicted personal self-efficacy beliefs, and variables accounted for 64.0% of the variance in personal self-efficacy. Personal science-teaching self-efficacy has no significant direct relationship with science-teaching anxiety or interest in science. Specifically, anxiety has a small positive effect on personal science-teaching self-efficacy. Interest in science does not directly predict personal self-efficacy efficacy beliefs. Anxiety related to teaching science had a major negative effect on interest in science and a minor positive impact on outcome expectancy. The results also showed that personal self-efficacy beliefs depend profoundly on perceptions of outcome expectancy rather than directly on teaching anxiety or science interest levels per se. These findings are noteworthy for future research that aims to boost teachers’ science-teaching self-efficacy. Recommendations are made based on these findings.

This study examines the relationships between attitudes toward all core STEM subjects and interest in STEM careers among 4th through 12th grade US students through the administration of the Student Attitudes toward STEM (S-STEM) Survey to over 15,000 public school students. The research developed a model based on expectancy-value theory that incorporates key demographic factors of age, gender, and race/ethnicity. Our findings reinforce prior research that students across key demographic factors perceive biological/clinical and physical science career paths differently, resulting in two career clusters. Of interest, the relationship of mathematics attitudes to career interest varied by STEM career cluster. Findings were also supportive of the conclusion that students’ attitudes towards STEM careers are not static over their primary and secondary grades, stabilizing and leveling during their secondary years. Gender showed significantly different interest levels for the two career clusters: males higher for physical sciences and females higher for biological/clinical sciences. Racial/ethnic disparity in STEM career interests can be seen more readily in physical sciences and engineering than in the biological sciences. Overall, our work reinforces findings that students, as young as elementary grades, are forming attitudinal associations between their academic and life experience and future STEM careers.

This study examined students’ genetics learning in a game-based environment by exploring the connections between the expectancy-value theory of achievement motivation and flow theory. A total of 394 secondary school students were recruited and learned genetics concepts through interacting with a game-based learning environment. We measured their science self-efficacy, science outcome-expectancy beliefs, flow experience, feelings of frustration, and conceptual understanding before and after playing the game, as well as their game satisfaction. Mixed-model ANOVA, correlation tests, and path analysis were run to answer our research questions. Based on the results, we found that the game had a significant impact on students’conceptual understanding of genetics. We also found an acceptable statistical model of the integration between the two theories. Flow experience and in-game performance significantly impacted students’ posttest scores. Moreover, science outcome-expectancy belief was found to be a significant predictor of students’ flow experiences. In contrast, science self-efficacy and pretest scores were found to be the most significant factors influencing the feeling of frustration during the game. The results have practical implications with regard to the positive role that an adaptive game-based genetics learning environment might play in the science classroom. Findings also underscore the role the teacher should play in establishing productive outcome expectations for students prior to and during gameplay.

Background Although self‐efficacy (SE) and outcome expectancy (OE) have been well researched as predictors of outcome, few studies have investigated changes in these variables across treatments. We evaluated changes in OE and SE throughout treatment as predictors of outcomes in a large sample with panic disorder, generalized anxiety disorder, social anxiety disorder, or posttraumatic stress disorder. We hypothesized that increases in SE and OE would predict reductions in anxiety and depression as well as improvement in functioning. Methods Participants (mean age = 43.3 years, SD = 13.2, 71.1% female, 55.5% white) were recruited from primary care centers throughout the United States and were randomized to receive either Coordinated Anxiety Learning and Management (CALM) treatment – composed of cognitive behavioral therapy, psychotropic medication, or both – or usual care. SE and OE ratings were collected at each session for participants in the CALM treatment (n = 482) and were entered into a structural equation model as predictors of changes in Brief Symptom Inventory, Anxiety Sensitivity Index, Patient Health Questionnaire (PHQ), and Sheehan Disability Scale outcomes at 6, 12, and 18 months after baseline. Results The best‐fitting models predict symptom levels from OE and SE and not vice versa. The slopes and intercept of OE significantly predicted change in each outcome variable except PHQ‐8. The slope and intercept of SE significantly predicted change in each outcome variable. Conclusion Over and above absolute level, increases in SE and OE were significant predictors of decreases in symptoms and increases in functioning. Implications for treatment are discussed, as well as future directions of research.

PurposeHome-based workouts via fitness YouTube channels have become more popular during the pandemic era. However, few studies have examined the role of social media personae related to intention to exercise. The purpose of this study was to investigate the structural relationships between fitness YouTuber attributes: perceived physical attractiveness (PPA), perceived social attractiveness (PSA), perceived similarity (PS), parasocial relationships (PSRs), wishful identification (WI), physical outcome expectations (POEs), and continuous intention to work out with fitness YouTubers (CIWFY).Design/methodology/approachThis study considered fitness YouTube channel viewers as the unit of analysis. An online survey was conducted to empirically develop and test the research model using structural equation modeling (SEM).FindingsThe SEM empirical findings revealed that the PSRs were significantly influenced by PSA, PPA, and PS. Also, WI was significantly affected by PPA and PS. Furthermore, POEs were significantly impacted by PPA and PSRs. POEs affected the CIWFY. Lastly, PSRs and POEs mediated the influence of PSA and PPA on the CIWFY.Originality/valueThe psychological impacts of exercising to online fitness videos in the era of COVID-19, with its untact (no contact) social norms is timely. The study model demonstrated the fitness YouTube viewers' cognitive path from perceptions toward fitness YouTubers' attributes to behavioral intention. To be specific, the current study demonstrated how three attribution types (i.e. PPA, PSA, and PS) of fitness YouTubers affect viewers' PSRs and WI with fitness YouTubers, along with POEs and CIWFY. Along with health practitioners, fitness YouTubers who want to captivate viewers on their channels might need to consider self-attributes from their viewers' standpoint and should build psychological bonding with viewers.

The paper investigated the challenges faced by female students enrolled in the Science, Technology, Engineering and Mathematics (STEM) field of study. The social cognitive theory (SCCT) was employed to examine the role played by the environment, goals, behaviour, and self-efficacy factors of female students studying towards Engineering and Information Technology degrees at a traditional South African university. The study examined the interdependencies between these four factors and their role in female students’ success in STEM courses at the university. The finding revealed that female students possess the selfefficacy required to excel in their studies, despite overt or covert hostilities and other challenges they face during their study. The data analysis indicate that female students need the support of their families in achieving their goals. The fear of disappointing parents or family members if they fail to obtain their qualifications seem to be a key motivation to female students in STEM courses. It is recommended that all stakeholders be positively involved in ensuring that female students in the STEM fields get the needed support. Such support, in tandem with their self-efficacy, outcome expectations and goal setting, will ensure that they overcome obstacles and are adequately equipped to realise their dream of achieving qualifications in this critical segment of the economy.

Urban delivery demand continues to rise, intensifying last-mile logistics challenges and accelerating the transition from manual delivery to autonomous delivery robots (ADRs). This study investigates the behavioral mechanisms underlying consumers’ migration toward ADRs. Grounded in the socio-technical systems perspective, we integrate the Push–Pull–Mooring (PPM) model with Social Cognitive Theory (SCT) to explain how technological and social stimuli shape switching and continuance intentions through cognitive and emotional pathways. Survey data from 786 Chinese consumers, analyzed using second-order structural equation modeling, support the proposed framework. The results indicate that dissatisfaction with manual delivery (push) and perceived benefits of ADRs (pull) significantly enhance both switching and continuance intentions. Outcome expectancy positively predicts switching intention but negatively predicts continuance intention. Technophobia reduces switching intention but does not significantly influence continuance. Moreover, social norms moderate key relationships, highlighting the role of external social influence in technology transition. This study extends PPM research into the smart logistics context, introduces socio-cognitive mechanisms into technology switching analysis, and conceptually distinguishes switching and continuance intentions as separate constructs. The findings offer practical guidance for ADR developers and policymakers by emphasizing strategies to reduce emotional resistance, enhance social endorsement, and promote the sustainable adoption of autonomous delivery technologies.

PurposeThe objective of the study is to explain how health orientation influences attitude towards paying attention to nutrition claims (NCs), intention to pay attention to NCs, and willingness to buy products containing NCs.Design/methodology/approachIn the first study, conducted amongst 770 respondents using the CAWI (Computer-Assisted Web Interview) method, the authors investigated the role of health orientation in explaining intention to pay attention to NCs and willingness to buy products with NCs. The theory of planned behaviour was used as the main theoretical framework. In the second online experiment, carried out amongst 485 respondents, the impact of health orientation on attitude towards the label containing NC and on NC product purchase intention was studied.FindingsThe authors revealed that health orientation plays a significant (direct and indirect) role in explaining attitude towards paying attention to NCs, and intention to pay attention to NCs, as well as NC product purchase intention.Originality/valueHealth orientation appeared to be an important determinant of selecting products with NCs. Consumers' intent to choose products containing claims is mainly determined according to their attitudes driven by health orientation and outcome expectancy. Consequently, intention to pay attention to NCs is strongly related to intention to buy products containing claims.