Search results

Social commerce (s-commerce) offers community-based platforms that facilitate customer-to-customer interactions and the development of customers' social shopping-based experience. While prior research has addressed the role of customer engagement (CE) in boosting s-commerce-based sales and performance, insight into the effect of s-commerce attributes on CE remains tenuous. Addressing this gap, this study examines the role of specific s-commerce attributes (i.e. community, collaboration, interactivity and social dynamics) on CE, which is, in turn, proposed to impact customers' repurchase- and electronic word of mouth (eWOM) intention.

A web-based survey was deployed to target users of a popular s-commerce platform, Etsy.com. Partial least squares structural equation modeling (PLS-SEM) was, then, used to analyze the survey data collected from 390 users.

The results reveal that the four examined attributes positively affect CE. The findings also demonstrate CE's positive effect on customers' repurchase- and eWOM intention.

Though CE has been identified as a key s-commerce performance indicator, little remains known about the role of specific s-commerce attributes in driving CE, as, therefore, explored in this research. Specifically, the authors examine the role of s-commerce-based community, collaboration, interactivity and social dynamics on CE. Their analyses also corroborate that CE, in turn, drives customers' post-purchase (i.e. repurchase/eWOM) intention. Managerially, our findings can be used to develop more engaging s-commerce platforms.

Understanding students’ preferences for teaching and course design is important for educators in higher education when planning courses and teaching activities. The purpose of this study was to explore changes in occupational therapy students’ preferences for teaching and courses across the three-year study program.

A total of 263 students participated in a longitudinal study, where preferences were measured with the Approaches and Study Skills Inventory for Students. The data were analyzed with linear mixed effect models for repeated measures.

The results indicated no significant changes in preferences for courses and teaching over the three-year period. Also, there were no significant differences between the six involved study programs. Preferences for the courses and teaching type “supporting understanding” were associated with higher age and higher study effort. Preferences for the courses and teaching type “transmitting information” were associated with lower age and female gender.

In summary, the findings of this study suggest that preferences for teaching and courses are stable and may be challenging to alter during a three-year undergraduate study program.

Current models of transaction credit in the e-commerce network face many problems, such as the one-sided measurement, low accuracy and insufficient anti-aggression solutions. This paper aims to address these problems by studying the transaction credit problem in the crowd transaction network.

This study divides the transaction credit into two parts, direct transaction credit and recommended transaction credit, and it proposes a model based on the crowd transaction network. The direct transaction credit comprehensively includes various factors influencing the transaction credit, including transaction evaluation, transaction time, transaction status, transaction amount and transaction times. The recommendation transaction credit introduces two types of recommendation nodes and constructs the recommendation credibility for each type. This paper also proposes a “buyer + circle of friends” method to store and update the transaction credit data.

The simulation results show that this model is superior with high accuracy and anti-aggression.

The direct transaction credit improves the accuracy of the transaction credit data. The recommendation transaction credit strengthens the anti-aggression of the transaction credit data. In addition, the “buyer + circle of friends” method fully uses the computing of the storage ability of the internet, and it also solves the failure problem of using a single node.

There are many studies regarding the value of gaining cultural awareness, but limited empirical evidence has been shared on programs that use integrated learning and capacity building interventions to specifically build cultural competence in aspiring undergraduate leaders. This qualitative case study examined the effects of interventions designed to build intercultural competence in first-year honors students participating in a leadership development program using co-curricular activities, undergraduate research, and a short-term education abroad. Data collected from two cohorts who completed the first year of the program revealed students’ perceptions of their short-term education abroad experience’s impact on their intercultural competence and leadership development. The study demonstrates the value of integrated leadership and intercultural competence development among undergraduate students.

The purpose of this article is to untangle the influence of Linda Tuhiwai Smith’s Decolonizing Methodologies on botanical gardens, particularly in the context of commemorating 25 years since its publication. By examining the intersections between decolonial theory and botanical practices, this article seeks to elucidate the ways in which Smith’s work has informed and inspired efforts to decolonize botanical research, conservation and education. Through a narrative review and case study analysis, this article highlights key insights, challenges and opportunities for botanical gardens to embrace decolonial practices and foster more equitable and inclusive relationships with Indigenous communities, science and knowledge systems.

The design and methodology of this article involve a narrative literature review and comparative case study analysis (Petticrew and Roberts, 2006; Goodrick, 2014). The review synthesizes scholarly articles, books and reports on decolonizing botanical practices, focusing on literature that stems from Indigenous science, identifies engagement strategies and advocates for systemic change within botanical institutions. Key themes and recommendations are identified and analyzed to provide insights into future directions for decolonizing botanical gardens. This approach allows for a thorough examination of current discourse and best practices in decolonial theory and botanical research, informing actionable recommendations for advancing decolonization within botanical gardens.

The findings reveal that Linda Tuhiwai Smith’s Decolonizing Methodologies has significantly influenced botanical gardens, inspiring efforts to prioritize Indigenous knowledge systems, deepen community engagement and advocate for systemic change. While progress has been made in integrating decolonial practices, challenges persist, including the need for greater institutional commitment, capacity building and accountability. However, opportunities abound for botanical gardens to continue advancing decolonization, particularly through partnerships with Indigenous communities, educational outreach and policy advocacy. Overall, the findings underscore the importance of ongoing reconciliation and action in cultivating more equitable and respectful relationships that advance principles of Indigenous data sovereignty and governance.

While this article offers valuable insights into the influence of Linda Tuhiwai Smith’s Decolonizing Methodologies on botanical gardens, several limitations must be acknowledged. Firstly, the literature review may not document all relevant transformations undertaken by gardens to date if such initiatives are not documented in the public domain, such as institutional websites. Additionally, the review primarily focuses on English-language literature, limiting the exploration of decolonial practices for botanical gardens in non-English-speaking contexts.

This article holds several practical implications for botanical gardens seeking to decolonize. Firstly, by prioritizing Indigenous knowledge and deepening community engagement, botanical gardens can foster more inclusive and respectful relationships with Indigenous communities. Secondly, advocating for systemic change and policy reforms will address institutionalized inequities and recognize Indigenous People’s rights, including biocultural and intellectual property. Additionally, investing in educational outreach and capacity-building initiatives can enhance institutional and public understanding of decolonization. Overall, embracing decolonial practices can contribute to the adoption and advancement of Indigenous Data Sovereignty and the CARE Principles for Indigenous Data Governance within botanical gardens and beyond.

This article highlights the importance of decolonizing botanical gardens for promoting justice and equity. By centering Indigenous rights to data sovereignty, such as attribution of traditional and biocultural knowledge, botanical gardens can contribute to reconciliation efforts and promote respect for Indigenous rights and sovereignty. Additionally, addressing colonial legacies and systemic inequalities within botanical institutions can advance botanical justice and help build more just and equitable societies. Moreover, this transformation also aligns with a growing legal movement recognizing the inherent rights of Nature, including plant relatives collected, stored and stewarded by botanic gardens.

This article contributes to the literature by exploring the intersection of decolonizing methodologies and botanic gardens, particularly in the context of Linda Tuhiwai Smith’s influential work. By synthesizing key insights and offering actionable recommendations, this review provides guidance on future directions botanic gardens can follow to advance their decolonization strategies and initiatives in furtherance of botanical justice.

This paper aims to investigate how the extant literature on sustainable supply chain management (SSCM) empirically explores the perspective of emerging economy suppliers operating in global supply chains (GSCs). It thereby explains the role of emerging economy suppliers in determining the success of SSCM.

A systematic literature review of 41 empirical papers (published between 2007 and 2021) was conducted, involving both descriptive and thematic analyses.

The findings demonstrate that emerging economy suppliers have a key role in SSCM, given their use of positive feedback loops to proactively create remedies to surpass barriers using their collaboration mechanisms, and exploit authentic sustainability outcomes as reinforcements to drive further sustainability initiatives. The authors also demonstrate that suppliers are particularly focused on the cultural and institutional dimensions of sustainability. Finally, the authors provide an explanatory analytical framework to reduce the institutional distance between buyers and their global suppliers.

This review identifies avenues for future research on the role of emerging economy suppliers in SSCM.

Recognising remedies to surpass barriers and reinforcements to drive new actions can aid SSCM in GSCs and improve understanding between buyers and suppliers.

The valorisation of cultural and institutional issues can lead to more responsible supplier interactions and improved sustainability outcomes in emerging economies.

This review only analyses the viewpoint of emerging economy suppliers, whereas prior SSCM reviews have focused on the buyer perspective. Thus, the authors reduce supplier invisibility and institutional distance between GSC participants.

The purpose of this paper is to investigate how horizontal collaboration aids organisations in responding to modern slavery legislation and in gaining a socially sustainable competitive advantage.

Action research has been conducted in the textiles and fashion industry and a relational perspective adopted to interpret five collaborative initiatives taken to tackle modern slavery (e.g. joint training and supplier audits). The primary engagement has been with a multi-billion pound turnover company and its collaborations with 35 brands/retailers. A non-government organisation and a trade body have also participated.

Successful horizontal collaboration is dependent on both relational capital and effective (formal and informal) governance mechanisms. In collaborating, firms have generated relational rents and reduced costs creating a socially sustainable competitive advantage, as suggested by the relational perspective. Yet, limits to horizontal collaboration also exist.

The focus is on one industry only, hence there is scope to extend the study to other industries or forms of collaboration taking place across industries.

Successful horizontal collaborative relationships rely on actors having a similar mindset and being able to decouple the commercial and sustainability agendas, especially when direct competitors are involved. Further, working with non-business actors can facilitate collaboration and provide knowledge and resources important for overcoming the uncertainty that is manifest when responding to new legislation.

Social sustainability improvements aim to enhance ethical trade and benefit vulnerable workers.

Prior literature has focussed on vertical collaboration with few prior studies of horizontal collaboration, particularly in a socially sustainable supply chain context. Moreover, there has been limited research into modern slavery from a supply chain perspective. Both successful and unsuccessful initiatives are studied, providing insights into (in)effective collaboration.

This study aims to widen the understanding of how remote work shapes the feedback environment by examining the perceptions of leaders and subordinates of daily, dyadic feedback interactions. The emphasis is on understanding how reciprocity within leader-member exchange (LMX) relationships manifests and how it influences the feedback dynamics.

Template analysis of a qualitative data set consisting of 81 semi-structured interviews with leaders (n = 29) and remote working subordinates (n = 52) was performed.

Drawing on the theoretical frameworks of the feedback environment and the leader-member exchange, the findings demonstrate the imbalance between the efforts of leaders and subordinates in building and maintaining a favourable feedback environment in the remote work context. The results of this study highlight the importance of the dyadic nature of feedback interactions, calling for a more proactive role from subordinates.

Given the estimation that the COVID-19 pandemic has permanently changed the way organizations work, leaders, subordinates and HR practitioners will benefit from advancing their understanding of the characteristics of dyadic, daily feedback interaction in remote work.

Qualitative research on feedback and leader-member exchange interactions in remote work that combines the perceptions of leaders and subordinates is sparse.

This pilot study aims to examine the prevalence of test anxiety and its interplay with attitudes, confidence, efficacy, academic performance and socio-demographic factors within the domain of science, technology, engineering and mathematics (STEM) courses.

The authors employed a quantitative, cross-sectional design with 549 sixth-grade students from public lower secondary schools in Prishtina, Kosovo, using the Student Attitudes Toward STEM Survey (S-STEM) for middle/high schools and the test anxiety questionnaire.

Over 70% of Kosovo's sixth-grade students reported moderate to severe test anxiety. The age of students was found to be inversely related to academic performance in STEM. The father's employment was associated with favorable STEM attitudes, confidence, efficacy and academic performance. Having a personal study environment was connected with favorable STEM attitudes, confidence and efficacy in STEM, whereas access to technology was associated with positive academic performance. Test anxiety, academic performance and personal study space predicted students' attitudes, confidence and efficacy in STEM and 21st-century learning.

Educational institutions should prioritize student well-being. By addressing test anxiety, these institutions can create supportive learning environments that improve attitudes, confidence and efficacy in STEM fields. These efforts are crucial for STEM career development and student success in the 21st-century workforce.

The current study findings contribute to a deeper understanding of the factors influencing STEM student engagement and performance, highlighting the importance of addressing test anxiety for positive learning outcomes while emphasizing the need to consider socio-economic and contextual factors in education.

The purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and observe the important gaps in the literature that can inform a research agenda going forward.

A systematic literature strategy was utilized to identify and analyze scientific papers between 2012 and 2022. A total of 28 articles were identified and reviewed.

The outcomes reveal that while advances in machine learning have the potential to improve service access and delivery, there have been sporadic growth of literature in this area which is perhaps surprising given the immense potential of machine learning within the health sector. The findings further reveal that themes such as recordkeeping, drugs development and streamlining of treatment have primarily been focused on by the majority of authors in this area.

The search was limited to journal articles published in English, resulting in the exclusion of studies disseminated through alternative channels, such as conferences, and those published in languages other than English. Considering that scholars in developing nations may encounter less difficulty in disseminating their work through alternative channels and that numerous emerging nations employ languages other than English, it is plausible that certain research has been overlooked in the present investigation.

This review provides insights into future research avenues for theory, content and context on adoption of machine learning within the health sector.